What Blockchain API Supports Fast Data Retrieval? Benchmarks and Trade-Offs

Quick Summary

When picking a blockchain API focused on speed, it’s crucial to measure the p95 latency with your actual workloads. Keep an eye out for any sneaky limits like block-range caps, indexing depth, and multi-region routing that might trip you up. This guide dives into recent benchmarks from independent sources and vendors, breaks down the post‑EIP‑4844 “blob” read path, and offers easy-to-follow steps to achieve sub‑100 ms reads at scale.

Why “fast data retrieval” is a business metric, not a nice‑to‑have

Every extra 100 ms on your read path can bump up the chances of abandonment in areas like trading, checkout, and wallet user experience. By 2025, top providers started sharing live latency telemetry and rolling out push-based data products (like webhooks and streams). This way, you can ditch the noisy polling and switch to exactly-once delivery. But what’s considered “fastest” really varies based on your chain mix, regions, and methods--think Solana's getProgramAccounts, Ethereum’s eth_getLogs, or rollup blob reads. The only surefire way to figure this out is to benchmark the specific calls your product uses, under concurrency, across different regions, and with multiple vendors. (blog.quicknode.com)

The speed leaders in 2025 (and how to read the numbers)

Ethereum, globally: QuickNode’s public QuickLee V2 is showing some pretty impressive numbers with a live p95 latency of around 56 ms as of August 21, 2025. In comparison, Chainstack is at 178 ms and Alchemy is hitting 232 ms, all measured across different regions. Keep in mind, this data is coming from vendor-operated telemetry, but it gets updated regularly and lets you filter by region and method. This can really help when you're in the process of shortlisting options. Think of it as a good starting point to benchmark against your own workloads. (blog.quicknode.com)
Solana, globally: According to QuickNode’s latest Solana report, the p95 latency is sitting at around 50 ms. For comparison, other major platforms are clocking in at around 100-300 ms--like Triton at roughly 100 ms and Helius and Alchemy between 225-237 ms during the testing period. If you want to see how your own results stack up, make sure to replicate their exact method mix (like getProgramAccounts or getMultipleAccounts) and regions. (blog.quicknode.com)
High-RPS Stress (EVM L1/L2): Nodies has rolled out some awesome multi-provider, multi-rate tests, where they’ve pushed performance from 10 to 10,000 requests per second (rps). When you look at Base and Optimism, the numbers show that both the Nodies and Blast API are keeping their P50/P99 response times nice and low, even at that 10k rps mark. Meanwhile, other providers seem to struggle as the load increases. Keep in mind, results can change depending on the chain and method used. Since these are done on provider-run benches, it’s a good idea to validate them in-house. The main takeaway? When the heat’s on, designs that use deep caching and precomputed receipts/logs tend to perform way better. Check it out here: (docs.nodies.app)
Provider transparency and independent services: In January 2025, CompareNodes rolled out a benchmarking-as-a-service that comes with default test regions like N. Virginia, Frankfurt, and Singapore. This tool lets you run neutral tests with your method mix before you dive in and make any commitments. Check it out here: (comparenodes.com)
Incident reality check: If you check the status pages and outage trackers, you'll notice some transient latency spikes, especially around heavy methods like eth_getLogs on Base via Infura during late May to early June 2025. It's a good idea to design for graceful degradation, using smaller ranges and backoff strategies, no matter which vendor you’re working with. (isdown.app)

What changed in the last 12 months that affects “fast reads”

1) Ethereum’s EIP‑4844 (Blobs) Changed the Read Path for Rollup Data

So, with Ethereum’s EIP‑4844, rollups are now posting data as “blobs” to the consensus layer. The catch? The execution-layer JSON-RPC doesn’t serve up the raw blob contents like it used to. If you want to grab those blobs, you’ll need to tap into the Beacon API (check out something like /eth/v1/beacon/blob_sidecars/{block_id}).

Some providers have started to include Beacon endpoints along with the execution RPC, so if you’re working on indexing rollup data or reconciling fees, it’s smart to double-check if they support that. Just a heads-up: blobs get pruned after about two weeks, so if you need to keep data around longer, you’ll want to set up an archiver. You can find more details on this over at (eips.ethereum.org).

QuickNode has some solid documentation on Beacon endpoints (think blocks, debug, and blob sidecars) and even covers historical blob access. On the other hand, Blockdaemon gives you a rundown of the Beacon routes they support. If blob data is important for you, make sure to ask for both execution RPC and Beacon APIs in your RFP. (quicknode.com)
Practical impact: expect to notice varying latencies when you're dealing with “blob reads” compared to classic eth_* queries. Make sure to set aside some extra time for cross-API orchestration and caching. For example, consider storing sidecars in S3 or Arweave during ingestion to steer clear of misses once they expire. (7blocklabs.com)

2) Solana Staked QoS and “Priority Lanes” for Write and Stream Paths

So, let’s talk about Solana’s Stake-Weighted QoS (SWQoS). This feature gives staked connections a nice boost in bandwidth when connecting to leaders, which really helps with transaction inclusion. If you're using Helius, you'll find that “staked connections” are automatically available on paid plans. While this mainly speeds up writes, Helius also shines when it comes to low-latency reads and archival queries, like cursor-based getTransactionsForAddress.

For apps that lean heavily on reads, a good combo is to mix standard JSON-RPC with gRPC streams. Trust me, it’s way better than getting stuck in those annoying poll loops. Check it out more in detail at report.helius.dev.

3) Client Improvements Under the Hood

With Erigon v3 and the latest Nethermind builds, you’ll notice some cool upgrades in disk usage and how quickly RPC responds. For instance, they’ve introduced pre-persisted receipts, which really speed up the eth_getLogs function, plus the tracing paths have become faster too. If you hear a provider bragging about “10x faster logs” for archive data, it usually ties back to client features like those persisted receipts and a more streamlined state. Don’t hesitate to ask vendors which client or flags are powering your endpoint. Check out the latest releases on GitHub.

Hidden speed killers you must plan for

Block-range caps on eth_getLogs: So, here's the deal: providers set limits on range sizes to keep those queries quick and efficient. For example, QuickNode usually caps block ranges at about 10,000 blocks if you're on a paid plan. Alchemy, on the other hand, offers something like "unlimited" ranges but still has its own limits based on response size or the number of logs--think around 10k logs, or you can go with an uncapped range of 2k blocks as long as you stick to a 150 MB limit. Chainstack is a bit more conservative, suggesting a maximum of 5,000 blocks per request for Ethereum. When you're designing your approach, make sure to think about pagination and parallelization by the chain. (quicknode.com)
Response-size ceilings: Even if a vendor claims to offer “unlimited” block ranges, you’ll still find that big payloads can trigger timeouts or hit size limits. It’s a good idea to prepare for topic filters, address filtering, and range splitting. (alchemy.com)
Region mismatches: A provider that's "fast" in US-East could be just okay in APAC. To tackle this, consider using providers with anycast/global nodes or set up explicit region pinning. Chainstack’s Global Node directs traffic to the nearest healthy location and automatically fails over if the lag exceeds 40 blocks. These features really help reduce those annoying cross-region roundtrips. Check it out in their documentation!
Product sunsets and migrations: QuickNode is saying goodbye to QuickAlerts on July 31, 2025, and they're rolling out next-gen Webhooks instead. If you’re using old-school alerting pipelines, make sure to carve out some time to shift your filters and delivery setups. Check out the details here: (quicknode.com)

Push beats pull: modern “fast data” patterns

Polling JSON‑RPC can be a bit of a drag--it's the slowest and noisiest method to keep up-to-date. If you're looking to cut down on latency and costs in 2025, the smart move is to jump on board with provider-managed streams:

QuickNode Webhooks and Streams: These are super handy serverless push pipelines that come with reorg handling, gzip compression, and exactly-once semantics. You can send data to various destinations like webhooks, S3, PostgreSQL, and Snowflake. If you're looking for real-time matches, Webhooks are your go-to; for backfilling and ETL of entire datasets (think blocks, transactions, receipts, logs), Streams are the way to go. Check it out here!
Alchemy Custom Webhooks + Transfers/Token APIs: Get real-time updates with GraphQL webhooks and handy indexing endpoints like alchemy_getTransactionReceipts. Plus, the Transfers API lets you pull a wallet’s entire history in just one call--usually needing about 100 times fewer requests than the old-school log scans. Check it out here: (alchemy.com)
Moralis Streams: These are your go-to for cross-chain event webhooks that come with solid delivery guarantees, retry schedules, and even a way to replay any failed deliveries. Perfect for keeping your ops SLAs in check. Check it out at moralis.com!
Solana Streams: Helius is now offering Enhanced WebSockets and gRPC with LaserStream. You can mix these streams with the usual RPC to skip the hassle of high-fanout polling when using getProgramAccounts. Check it out at helius.dev!
Decentralized routing: The Lava Network’s RPC Routing Engine is designed to handle multiple providers seamlessly. It does this by using QoS scoring that takes into account latency, availability, and freshness, along with global pairing lists and failover options. If your team is looking for some vendor diversity without the hassle of building your own router, Lava offers a solid, production-ready solution. Check it out here: (docs.lavanet.xyz)

Practical, concrete recipes for sub‑100 ms reads

1) Ethereum “recent activity” dashboard (logs without pain)

Instead of using the broad eth_getLogs, switch over to the Alchemy Transfers API. It allows you to pull a wallet’s internal, external, and token transfers in just one request! Plus, you can subscribe to Custom Webhooks to get real-time updates. This change will drastically reduce the number of queries you need to run and keep your p95 stable. Check it out here: (alchemy.com)
If you really need to use eth_getLogs, make sure to limit your ranges to about 3-5k blocks for Ethereum. Use filters for topics and addresses, parallelize your requests by time windows, and don’t forget to dedupe on the client-side. Always keep provider limits in mind, like QuickNode’s cap of 10k blocks on paid plans. For more details, take a look at this link: (docs.chainstack.com)

2) Solana Trading UI (Same-Slot Feel)

Consider using Helius staked connections to handle transaction sends, while utilizing LaserStream gRPC or Enhanced WebSockets for capturing state changes. Instead of constantly polling getProgramAccounts every few hundred milliseconds, let streams do the heavy lifting and confirm updates with lightweight RPC calls. Check out helius.dev for more details!

3) Rollup/DA Observer (Post‑EIP‑4844)

If you're diving into L2 data auditing, you’ll want to either run a Beacon API client yourself or tap into a provider that offers the endpoints /eth/v1/beacon/blob_sidecars and /eth/v1/beacon/blobs. It’s a good idea to cache those sidecars right away since blobs tend to get pruned after about two weeks. Make sure to keep your execution RPC separate for handling receipts and traces. Also, don't forget to check on the latency targets for each provider--remember, the routes for Beacon might not match up with the execution RPC SLAs. (eips.ethereum.org)

4) High-RPS Analytics Ingest

Push mode: Using QuickNode Streams to send data directly to S3 or Snowflake; batching helps cut down on webhook fanout.
Pull mode: It's best to favor providers that are running Erigon and have those receipts stored for eth_getLogs. Make sure to double-check with your vendors on this. Nodies’ stress tests indicate that caching or using persisted receipts can keep P99 latency in check at around 1-10k RPS, but it's a good idea to verify this in your specific region. You can check out more on this here.

A minimal, real‑world benchmarking harness you can adapt

Use three types of calls for each chain: “near-head cheap” (blockNumber), “index-heavy” (getLogs with filters), and “archive-heavy” (balance at a past block or Solana historical transactions). Run these with concurrencies of 8/64 for 5 minutes, and track metrics like p50, p95, p99, and error rate. Here's an example in Python using aiohttp:

import aiohttp
import asyncio
import time

async def fetch_near_head_cheap(session, url):
    async with session.get(url) as response:
        return await response.json()

async def fetch_index_heavy(session, url, filters):
    async with session.get(url, params=filters) as response:
        return await response.json()

async def fetch_archive_heavy(session, url, block_number):
    async with session.get(f"{url}/{block_number}") as response:
        return await response.json()

async def main():
    url = "https://example.com/api"  # Replace with your API endpoint
    async with aiohttp.ClientSession() as session:
        tasks = []
        for i in range(8):  # Change to 64 for higher concurrency
            tasks.append(fetch_near_head_cheap(session, url))
            tasks.append(fetch_index_heavy(session, url, filters={"param": "value"}))
            tasks.append(fetch_archive_heavy(session, url, block_number=i))
        
        results = await asyncio.gather(*tasks)
        print(results)

if __name__ == "__main__":
    start_time = time.time()
    asyncio.run(main())
    print(f"Execution time: {time.time() - start_time} seconds")

import asyncio, aiohttp, time, json, statistics

RPCS = {
  "alchemy_eth": "https://eth-mainnet.g.alchemy.com/v2/YOUR_KEY",
  "quicknode_eth": "https://docs-demo.quiknode.pro/...",
  "chainstack_eth": "https://nd-...chainstacklabs.com",
}

CALLS = [
  {"method":"eth_blockNumber","params":[]},  # cheap
  {"method":"eth_getLogs","params":[{"fromBlock":"0xF42400","toBlock":"0xF4E1C0",
                                     "topics":["0xddf252ad..."], "address":"0xA0b8..."}]},  # index-heavy
  {"method":"eth_getBalance","params":["0x742d35Cc6634C0532925a3b844Bc454e4438f44e","0xC35000"]} # archive-ish
]

async def worker(name, url, payload, N, results):
  async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=10)) as s:
    for _ in range(N):
      t0 = time.perf_counter()
      try:
        async with s.post(url, json={"jsonrpc":"2.0","id":1, **payload}) as r:
          await r.read()
          results.append((name, max(1, int((time.perf_counter()-t0)*1000)), r.status))
      except Exception:
        results.append((name, 10000, 599))

async def bench():
  results = []
  tasks = []
  for name, url in RPCS.items():
    for p in CALLS:
      for _ in range(8):  # concurrency 8
        tasks.append(asyncio.create_task(worker(f"{name}:{p['method']}", url, p, 50, results)))
  await asyncio.gather(*tasks)
  # summarize
  by = {}
  for k, ms, status in results:
    by.setdefault(k, []).append(ms)
  for k, arr in by.items():
    arr.sort()
    p50 = statistics.median(arr)
    p95 = arr[int(0.95*len(arr))-1]
    print(k, "p50", p50, "p95", p95, "n", len(arr))
asyncio.run(bench())

Make sure to run this in three regions: us-east-1, eu-central-1, and ap-southeast-1, all using the same API keys.
For Solana, switch to getBlockHeight for those quick, low-cost queries. Use getProgramAccounts with a dataSlice and filters when you're dealing with index-heavy tasks. And for checking balances, either look at an old slot or pull in data from a historical transaction (that one's more archive-heavy).
Your targets should be: p95 under 100 ms for those budget-friendly calls, and keep it under 250 ms for the index-heavy ones with a decent amount of concurrency. Plus, aim for an error rate of less than 0.5%. To enhance your user experience, consider tightening those targets up!

Vendor‑specific strengths and trade‑offs (what to ask in an RFP)

QuickNode
Strengths: They offer live, public latency telemetry by chain and region through QuickLee. Their Streams and Webhooks feature has exactly-once delivery, which is pretty solid, and they support multi-region deployments. Plus, they've recently scored some impressive latency wins with Solana, hitting sub-60 ms p95. Make sure to ask about the eth_getLogs block-range limits and regional pinning. Check it out here: (blog.quicknode.com)
Alchemy
Strengths: Alchemy boasts a “Supernode” architecture, custom webhooks, and Transfers/Token APIs that smartly combine multiple RPCs into one. Plus, it offers enterprise-level support across multiple regions with solid SLAs. They even claim their global latency will be below 50 ms by 2025! Just make sure to validate your method mix in your target areas and check how the response sizes behave in your logs. (alchemy.com)
Chainstack
Strengths: They offer global node support with geo-routing and failover options, which is pretty handy. Plus, you'll find solid best-practice guidance on using eth_getLogs ranges. Their flexible RPS-tiered pricing and dedicated nodes are definitely a bonus. Just make sure to check on archive availability and whether persisted receipts/trace are set up for your specific workloads. (docs.chainstack.com)
Helius (Solana-first)
Strengths: staked connections (SWQoS), Enhanced WebSockets/gRPC, Solana-specific archival accelerations (cursor-based methods). If Solana is your main jam, definitely consider adding Helius to your bake-offs, even if you’re using a multi-chain aggregator somewhere else. (helius.dev)
Blast API / Nodies
Strengths: shows great performance even with high RPS in vendor-run tests; really shines for those ETL and analytics spikes. Make sure to verify in your specific area and check out the feature sets (like trace/debug, archive, webhooks). (docs.nodies.app)
Blockdaemon (Ubiquity)
Strengths: provides a unified Data API that works across various protocols (including UTXO), and they boast about cutting down API latency with standardized endpoints. Plus, they have documented support for the Beacon API. Make sure to check the sandbox p95 and any SLAs for each dataset. (blockdaemon.com)
Decentralized router (Lava)
Strengths: Offers a variety of vendors with QoS-based routing and cross-validation; has public RPCs for different ecosystems; and features an enterprise "Smart Router" for a unified control plane. It's a great choice if you're looking for built-in censorship-resistance and multi-vendor failover. Check out the details here.
Infura
Strengths: solid Ethereum and L2 coverage, boasting a 99.99% uptime; it’s a smart choice for MetaMask-centric ecosystems. Just keep an eye on the credit models for those heavy index calls and plan around well-known hotspots, like the historical eth_getLogs ranges (they documented a Base incident back in May-June 2025). (infura.io)

Implementation best practices we deploy for clients at 7Block Labs

Split your read path:
- Use a “Fresh” path for quick queries that can be cached easily, like blockNumber and the latest balances.
- Set up an “Index” path for handling logs and transfers through tailored indexing APIs, whether that's Transfers, NFT, Token APIs, or your own subgraph.
- And don’t forget a “Historical” path for those archive-heavy scans, which could be your own indexer or a vendor that keeps receipts. This way, you'll keep your p95 nice and steady. (alchemy.com)
Go for push instead of poll: using webhooks or streams with reorg handling really helps to lower median and tail latencies while also saving you some cash. But if you’ve got to poll, make sure to use HTTP/2 keepalive, batch your JSON-RPC calls, and implement exponential backoff with a bit of jitter. (quicknode.com)
To work around the limits of eth_getLogs, try to keep your requests in small chunks, depending on the provider. You can shard your requests by block ranges or topics and run them in parallel while keeping an eye on concurrency limits. For those heavy users out there, consider saving your receipts or using datasets from your provider that have already done the heavy lifting. You can find more info in the Chainstack documentation.
Keep your regions in check with version control: lock down endpoints by region when necessary; for everything else, stick with global anycast or geo-routed endpoints to keep those pesky cross-ocean round-trip times as low as possible. Don't forget to track the p95 by user geography with each release! (docs.chainstack.com)
After EIP-4844 goes live, make sure to connect a Beacon API client, store blob sidecars in that ~2-week timeframe, and display blob metrics (like base fee and count per block) on your operations dashboards. Check out the details here: (eips.ethereum.org)
Multi-vendor hedging: When you're dealing with critical reads, it's a smart move to use hedged requests. Essentially, you send the request to two providers after a certain timeout (let’s say X ms) and then go with the first response that matches the quorum. If you notice the error rate creeping up, make sure to rotate your keys or providers. If you’re not keen on building this yourself, Lava’s routing engine has got you covered with a managed option. Check out the details here: (docs.lavanet.xyz)

Brief, in‑depth example: choosing a provider set for a US/EU crypto app (Dec 2025)

Scenario

You’re serving up a fantastic experience for your users in the US and EU, utilizing EVM and Solana. You’ve got a slick real-time portfolio page and handy in-app swaps that make everything seamless.

Reads (EVM): Use Alchemy for Transfers/Token APIs and set up Custom Webhooks to stay updated on address activity. QuickNode Streams can help you move block and log data into Snowflake, making sure your analytics warehouse gets near-real-time data. This way, you avoid those tedious broad log scans when you need to make requests. Don't forget to measure your p95 with your CI harness with every deployment. (alchemy.com)
Writes/Streams (Solana): Helius has got your back with staked connections for sends! They're also stepping up their game with improved WebSockets and gRPC for program events. Plus, don't forget to keep QuickNode Solana endpoints in the mix for some geographic variety, especially where they perform well on p95. Check it out at helius.dev!
DA/Blobs (especially if you’re running a rollup or working with L2 batches): make sure your vendor offers Beacon blob routes or set up your own beacon node. Don’t forget to archive sidecars every night. (quicknode.com)
Router: If you're looking for a one-stop solution that provides multi-vendor resilience, consider placing Lava’s Smart Router in front of your setup. It'll help you route based on Quality of Service (QoS). Check it out here: (docs.lavanet.xyz)

The bottom line

When it comes to “fastest,” it really varies based on your workload and region. It’s a smart move to check out the vendor-published telemetry (like QuickLee) and get an independent run (for example, using CompareNodes) before making a purchase. After that, keep the momentum going by benchmarking in your CI with your own setup. (blog.quicknode.com)
Avoid brute-forcing logs while the system's running. Instead, take advantage of indexing APIs (like Transfers/Token/NFT) and push systems (such as Webhooks/Streams). Remember, your users experience tail latencies (p95/p99), not just the average. (alchemy.com)
Get a game plan together for 4844/Beacon APIs, Solana SWQoS, and those client-level features (like Erigon receipts) that are really going to boost speed. Reach out to vendors and make sure to ask for the nitty-gritty details, not just buzzwords. (eips.ethereum.org)

If you're looking for 7Block Labs to run a targeted bake-off for your stack (including methods, chains, and geos), we've got you covered! We'll provide a concise shortlist complete with approved p95 targets, fallback designs, and cost models.

Sources and further reading

Check out the QuickLee V2 live latency dashboards and the Solana latency report for some insights on comparative p95s and how we got there. You can dive into it here.
Take a look at the Nodies multi-provider stress benchmarks (Base, Optimism, Ethereum) running at 10→10k rps. This will give you a solid understanding of tail behavior under load. You can find the details here.
Here’s the rundown on the EIP‑4844 spec and the Beacon API blob routes for post‑Dencun read paths. Check it out here.
Get the scoop on Helius staked connections, Enhanced WebSockets/gRPC, and a backgrounder on Solana SWQoS. More info is available here.
Need some solid Webhooks/Streams docs? We’ve got you covered: QuickNode Webhooks/Streams, Alchemy Custom Webhooks and Transfers API, and Moralis Streams can be found here.
Check out the Chainstack Global Node docs and the best-practice limits for eth_getLogs. Get the details here.
Don't miss the Erigon/Nethermind updates that could impact RPC speed, including improvements in persisted receipts and execution/RPC optimizations. Find all the latest here.

A Practical Guide to Fast Blockchain Data Retrieval in 2025

Get ready for a deep dive into how to grab blockchain data quickly in 2025! We’ll look at real latency benchmarks, the post-EIP-4844 blob read path, Solana SWQoS, and some handy patterns like webhooks/streams, logs pagination, and the Beacon API. Our goal? To help you hit sub-100 ms p95 while weighing the trade-offs with different providers.

Real Latency Benchmarks

When you're dealing with blockchain data, speed is key. Here are some benchmarks to keep in mind:

Average Latency: Around 75 ms.
95th Percentile (p95): Aim for under 100 ms.
Data Retrieval Types: Different protocols may have varying speeds, so see what fits your needs best.

Post-EIP-4844 Blob Read Path

With the advent of EIP-4844, the blob read path is about to change the game. Here’s a quick rundown:

New Formats: EIP-4844 introduces new blob formats that should streamline how we retrieve data.
Efficiency Gains: These blobs can help reduce costs and improve retrieval times significantly.
Integration: Make sure you’re up-to-date on how these changes impact your existing systems.

Solana SWQoS

Solana’s SWQoS (Service-Level Quality of Service) is another important piece of the puzzle. Here’s what you need to know:

Prioritization: It allows you to prioritize critical transactions to ensure they are processed swiftly.
Monitoring Tools: Keep an eye on Solana's dashboard for real-time performance metrics.

Practical Patterns for Fast Retrieval

Let’s talk about some practical patterns you can implement to enhance your data retrieval speed:

Webhooks and Streams

Real-Time Data: Use webhooks to get immediate updates without polling the server.
Event Streams: Subscribe to data streams to receive changes as they happen.

Logs Pagination

Chunking: Instead of pulling all your logs at once, break them into pages to minimize load time.
Efficient Queries: Refine your queries to only retrieve the info you need.

Beacon API

Direct Access: The Beacon API lets you access blockchain data in real-time.
Scalability: It’s designed to handle a high volume of requests without a hitch.

Conclusion

In 2025, reclaiming fast blockchain data retrieval doesn't have to be a headache. With the right approaches and tools, you can easily hit those sub-100 ms p95 targets. Just be sure to weigh the trade-offs with different providers to find the best fit for your projects!