Anything less than happy with your Elasticsearch deployment? Try Scalyr: better performance, lower cost, zero maintenance, and we will help your transition to Scalyr.

Scalyr ingests logs and events at hundreds of TB/day with zero loss, and make them ready for search within a second. Our search is simple, powerful, and blazing fast: 98% of queries are sub-second. Our event data architecture is optimized to deliver high performance at low cost - we pass the savings to our customers with industry-lowest per-unit pricing.

No more expensive storage, index management, sharding, updating, scaling and capacity planning: we bring it all for you as a reliable, performant, scalable SaaS.

We simplify your transition from Elastic: leverage existing logstash, fluientd or Kafka setup, even keep your Kibana dashboards, while taking advantage of Scalyr performance, reliability and low cost.

Lower COGS

Time after time in real world implementations, Scalyr lowers cost of goods sold for applications and services built on Elasticsearch -- sometimes by an order of magnitude. Scalyr’s Event Data Cloud is typically the same cost, or less, than the price of the infrastructure for your Elasticsearch cluster, plus includes maintenance, support, instant scaling to peak load, and more.

Better Experience

In head-to-head bake-offs, Scalyr will typically outperform Elasticsearch by 10-50x in ad hoc query performance on event data and real time use cases.

Keep Kibana

If you’ve already invested in LogStash and Kabana, that’s okay. Replace Elasticsearch with Scalyr’s Event Data Cloud and keep the rest. We provide an Elasticsearch connector to make it easy for you to migrate.

API-driven:

Everything in the event data cloud is delivered programmatically through APIs to allow you to build applications, services and dashboards on Scalyr’s event data cloud.

Anthony Johnson, Scalyr’s Field CTO, describes his experience using Elastic at scale and why he joined Scalyr.

Feature Scalyr Elasticsearch Elastic Cloud
Data retention, durability and availability: How much data you can keep on-line and queryable?
Unlimited / Full text with Cloud-native object store
Requires lifecycling. Disk drives on servers.
Requires lifecycling. Disk drives on servers.
Query Execution: how fast and dependable is query execution?
Each query is scheduled across entire EC2 search fleet for sub-second completion
Competes with ingestion activities on specific nodes
Competes with ingestion activities on specific nodes
Capacity Planning for performance and cost in dynamic environments with data growth, M&A, and opex budget pressure.
None required
# of Data Nodes, Size of Data Nodes, Number of Shards
# of Data Nodes, Size of Data Nodes, Number of Shards
Management of servers, shards and indexes to ensure a service optimization, health, and performance.
None required
Complete infrastructure, shard and index management.
Complete shard and index management.
Failure recovery and exposure to failures
None
Data migration between nodes
Data migration between nodes
Rich Ecosystem: Kinaba, Grafana, Kafka, FluentD, FluentBit, Logstash, etc.
Yes
Yes
Yes