Elasticsearch Migration Challenge: Save 44% on Infra by Switching to Rockset for Real-Time Analytics
We’re confident Rockset will save you 44% on infrastructure costs so we are giving $1,000 in credits to prove it out.
We’re confident Rockset will save you 44% on infrastructure costs so we are giving $1,000 in credits to prove it out.
- $1,000 in Free Credits: If you are spending more than $50k a year on Elasticsearch, our offer will help to cover the POC costs.
- 3 Months of White Glove Engineering Support: Our solutions engineers, with decades of database experience, will help you every step of the way. From re-architecting your application to tuning SQL queries, and everything in between.
- Migrate in 8 Days: We will get you migrated in 8 with a seamless migration process. In less than 8 days, you’ll be confident in the speed and scale of Rockset.
- $1,000 in Free Credits: If you are spending more than $50k a year on Elasticsearch, our offer will help to cover the POC costs.
- 3 Months of White Glove Engineering Support: Our solutions engineers, with decades of database experience, will help you every step of the way. From re-architecting your application to tuning SQL queries, and everything in between.
- Migrate in 8 Days: We will get you migrated in 8 with a seamless migration process. In less than 8 days, you’ll be confident in the speed and scale of Rockset.
4x
Faster Ingestion
Rockset is designed for real-time ingest using Log Structured Merge Trees that are mutable at an individual field level. This enables Rockset to outperform Elasticsearch when dealing with high-velocity streaming data.
44%
Lower Infrastructure Costs
Rockset separates storage, ingest and query compute so you don’t need to overprovision resources for your workload. Furthermore, Rockset can save up to 100x on storage costs by using SQL-based rollups.
20x
Faster Development Time
Rockset is cloud-native, saving your team from needing to manage clusters, nodes, shards and indexes. Furthermore, Rockset’s Converged Index enables ad-hoc search and analytics without any index management so teams realize real-time analytics 20x faster.
SQL
Joins
Rockset supports full SQL, including joins, in an efficient way. In Elasticsearch, joins are not a first class citizen and they are prohibitively expensive so you’ll need to use workarounds that add complexity to your data model.
Rockset delivered true real-time ingestion and queries, with sub-50 millisecond end-to-end latency. That didn’t just match Elasticsearch, but did so at much lower operational effort and cost, while handling a much higher volume and variety of data, and enabling more complex analytics – all in SQL.
Emmanuel Fuentes, Whatnot
