Use cases / Managed and serverless Solr alternative
Managed Solr, without the cluster.
WarpSearch is serverless search that speaks the Solr API. Point SolrJ or pysolr at a new endpoint, keep your edismax queries and facets, and stop paying for a cluster: from $10 a month with a 99.9% uptime SLA, and keyword search answering in a few milliseconds.
- 99.9%uptime SLA from $10 a month. SearchStax starts its SLA at Core, $2,499 a month
- 2 to 6 msmedian keyword search on 2 to 4 CPUs, measured on deliberately small hardware
- 0 nodesno cluster, shards or replicas to size, and no cap on collection size
Change the endpoint, keep your code
# before: a hosted Solr core # solr = pysolr.Solr("https://my-host.example.com/solr/products") # after: WarpSearch session = requests.Session() session.headers["Authorization"] = "Bearer ws_..." solr = pysolr.Solr( "https://api.warpsearch.io/compat/solr/products", session=session, ) solr.search("title:dune", defType="edismax", rows=10) # unchanged
How fast is it?
Measured through our own APIs on deliberately small hardware, 2 to 4 CPUs. Managed Solr speed depends on the cluster you pay for; WarpSearch gives every collection the same engine, with nothing to resize.
| WarpSearch | Managed Solr | |
|---|---|---|
| Keyword search | 1 to 6 ms median (2.1 ms on 2.8M docs, 2.4 ms on 10M passages) | Set by the cluster or plan you buy |
| Vector search (k-NN) | 6.2 ms median at 0.964 recall@10 on 10M vectors. 10.4 ms with filters | Set by the cluster, Solr version and configuration |
| Ingest | 63,000 to 97,000 short docs a second | Set by the cluster you buy |
| Time to searchable | Seconds, or immediate with commit=true | Your soft-commit interval |
| Handling a traffic spike | Automatic. Nothing to resize | Buy a larger cluster or plan |
Measured October 2026 through our Elasticsearch-compatible API, warm cache, client in the same region, single runs. Every test ran on deliberately minimal hardware, 2 to 4 CPUs (a 4 CPU container or an AWS i8g.large with 2 vCPUs), so these are the least favorable results we can produce. More hardware only improves them. Numbers exclude internet round trips.
Managed Solr pricing vs WarpSearch
Monthly cost at list prices for two common search workloads. Open a platform for the line items and sources.
| Platform | Small RAG | Catalog |
|---|---|---|
| WarpSearch | $10 | $139 |
| SearchStax | $367 to $2,499+37 to 250x cheaper or more | $367 to $2,499+2.6 to 18x cheaper or more |
| Opensolr | Over the 300 MB cap | Over the 300 MB cap |
| Websolr | Quote only | Quote only |
| Small RAG | 1M text chunks with 768-dim embeddings, 7 GB of JSON. 1M queries a month spread through the day. 1 GB written a month. |
|---|---|
| Catalog | 5M products with 384-dim embeddings, 10 GB of JSON. 50M queries a month (about 19 a second on average). 20 GB written a month. |
List prices in US dollars, checked October 20, 2026. Ranges cover regions, plan choices, or how the vendor sizes compute. All comparisons and sources.
Why move your Solr search to WarpSearch
- Same Solr API, same clients. SolrJ (javabin included), pysolr and other Solr clients connect with a new base URL and an API key header. Standard,
dismaxandedismaxqueries, filter queries, function queries, classic and JSON faceting, stats and grouping all run. - A 99.9% uptime SLA from $10. Every paid account has it. On SearchStax the first plan with an SLA is $2,499 a month; on Opensolr's listed plans uptime is 98 to 99%.
- No cluster, no size caps. No nodes, shards, replicas or plan tiers. A collection grows with your data, and an idle one costs only its storage.
- Vector and hybrid search on every plan. Dense vectors, filtered k-NN and hybrid keyword plus vector search in the same collection, at the same $2 per million requests.
- More than Solr. The same collection answers the Elasticsearch and OpenSearch APIs, SQL and PPL, so one search service covers every team and tool.
- Logs at terabyte scale. Index application logs next to your search data, with storage from $0.08 down to $0.035 per GB a month.
- Any cloud, or your own. Use it from AWS, Google Cloud or Azure, or run it in your own account.
Move from managed Solr in three steps
Create a collection with your fields
Create the collection in the console or through the API, with the fields from your Solr schema. See Schemas and fields.
Re-index your documents
Send your documents to the Solr update endpoint, or bulk-load them through the API. See Ingesting documents.
Switch the endpoint
Point your Solr client at
https://api.warpsearch.io/compat/solr/{collection}and send an API key header. Your queries and facets stay the same. See Solr compatibility.
Questions
What is the best managed Solr alternative?
If you want Solr search without running or paying for a cluster, WarpSearch answers the Solr HTTP API, so SolrJ, pysolr and your existing queries keep working. It bills per GB stored, per GB written and per request, from $10 a month, with a 99.9% uptime SLA on every paid account.
Is there a serverless Solr?
Yes. WarpSearch is serverless search with a Solr-compatible API: no nodes, no shards and no plan sizes. Capacity follows your traffic, and an idle collection costs only its storage.
How much does managed Solr cost?
SearchStax Managed Search lists clusters from $367 a month and an SLA from $2,499, billed annually. Opensolr lists plans from €17 to €53 a month, capped at 100 to 300 MB per index. Websolr gives prices by quote. WarpSearch starts at $10, with no size cap. See SearchStax, Opensolr and Websolr.
Do I have to rewrite my Solr queries?
No. Standard, dismax and edismax queries, local params, filter and function queries, classic and JSON faceting, stats and grouping run as they are, and responses come back in Solr's JSON or javabin shapes. You change the endpoint and send an API key.
Does WarpSearch support vector search for Solr users?
Yes. Vectors live in the same collection as your text fields, with filtered k-NN and hybrid search on every plan. See Hybrid search.
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