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StarTree Cloud vs. Elasticsearch for Real-Time Analytics
Say goodbye to indexing challenges, data scalability issues, and high operational costs with StarTree Cloud, the leading Elasticsearch alternative for OLAP.
6 Reasons to Switch from Elasticsearch to StarTree Cloud
Elasticsearch is a great search engine, but it wasn’t designed to be an analytics database. StarTree Cloud, the ultimate Elasticsearch alternative for real-time analytics, powered by Apache Pinot is the leading platform providing unmatched performance and ease of use.
Low-Latency Aggregations at Scale
Maintain performant aggregations against petabytes of data, with latencies measured in milliseconds.
Fast & Flexible Indexing
Leverage multiple indexing options, including the star-tree index for fast and efficient query results.
Better Tiered Storage Solution
Get results in seconds, not minutes with tiered storage designed for fast analytics.
User-Facing Analytics
Unlock your data for internal & external users by supporting extremely high concurrency queries (100,000+ QPS).
Reduce Spend
Save significantly on infrastructure spend with more efficient memory & column storage.
Designed for Purpose
Built for fast, real-time user-facing online analytics processing (OLAP).
StarTree Cloud, Powered by Apache Pinot™
StarTree Cloud, the leading Elasticsearch alternative for OLAP, was purposefully designed for real-time analytics and reporting. It is well-suited for applications that require instant insights into large datasets without needing additional customizations, configurations, or plugins for complex queries. StarTree Cloud can handle high-throughput, low-latency queries, making it ideal for a variety of use cases across social media and collaboration platforms, delivery and ridesharing services, retail and telecommunications companies, financial services, and more.
StarTree Cloud also has additional advantages over Apache Pinot, including StarTree Data Manager, which makes for easy no-code ingestion of data from event streaming systems like Apache Kafka®, live Change Data Capture (CDC) from transactional databases, as well as batch-oriented systems, object stores and a wide variety of data formats.
Real User Stories
Uber fully replaced Elasticsearch with Apache Pinot for its time-sensitive real-time analytics. By migrating, they saved more than $2M on infrastructure costs per year and reduced their overall data size by 120TB. The team also saw a 50% reduction in database cores and reduced page load time from 14 seconds to less than 5 seconds. With Apache Pinot, Uber can do real-time upserts and get query results from 1.5PB of data with <100ms P99 latencies.
We use Apache Pinot as a core system to empower mission-critical use cases.
Performance Comparison
Cisco
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Cisco WebEx found that Apache Pinot provided 5x to 150x lower latencies than Elasticsearch
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Cisco Webex obtained subsecond latencies with Apache Pinot in most tested cases, whereas Elasticsearch timed out (>30 seconds) in 67% of cases
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Cisco Webex shrank their cluster by >500 nodes moving from Elasticsearch to Apache Pinot
Uniqode
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Uniqode (formerly Beaconstac) found that Apache Pinot provided 10x faster queries overall, and 20x lower P95 latencies than Elasticsearch
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Uniqode shrank their cluster footprint by 50%, reducing cloud infrastructure spending
Uber
- Uber was able to shrink the number of cores used by 50% switching to Apache Pinot vs. Elasticsearch, saving >$2 million in infrastructure costs
Advantages of StarTree Cloud
Compare the features of Apache Pinot to Elasticsearch and you’ll see Pinot offers far more flexible indexing and ingestion capabilities to perform real-time analytics.
StarTree Cloud
Elasticsearch
Data Structure
Column Store for Efficient Analytics
SQL
Multi-Stage Query-Time JOINs
Conformance to ANSI SQL
Indexing Strategies
Inverted Index
Sorted Index
Range Index
JSON Index
Geospatial Index
Star-Tree Index
Bloom Filter
Text Index
Timestamp Index
Sparse Index
Ingestion
Upserts (Full-row and partial row)
Change Data Capture (CDC)
Out-of-Order Handling
Real-Time Deduplication
Data Warehouse Connectors (Batch Ingestion)
Snowflake
Delta Lake
Google BigQuery
Batch Ingestion File Formats
Avro
CSV
JSON
ORC
Parquet
Protocol Buffers (Profobuf)
Thrift
TSV
Data Analytics Integration
Apache Spark 3
Tiered Storage
Multi-volume tiering
Compute node separation
Cloud Object Storage*
*Not All Tiered Storage is the Same
StarTree Cloud offers tiered storage in a way that far exceeds the performance of Elasticsearch. StarTree allows you to run your application’s fastest data on locally attached NVMe storage. Or you can also use block storage for greater resiliency. Plus you can use cost-effective distributed object stores such as Amazon S3, Google Cloud Storage, or Azure Data Lake Storage. Performance on these objects stores will be far faster than Elasticsearch’s “Frozen Tier,” which will produce query results in scales measured by minutes, not seconds.
Migrating from Elastic? We'd love to help.
Start a free trial or meet with our experts. Discover how easy it is to get started migrating your workloads to Apache Pinot with StarTree Cloud.