DBMS > Elasticsearch vs. eXtremeDB vs. SQream DB
System Properties Comparison Elasticsearch vs. eXtremeDB vs. SQream DB
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|Editorial information provided by DB-Engines
|Elasticsearch Xexclude from comparison
|eXtremeDB Xexclude from comparison
|SQream DB Xexclude from comparison
|A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
|Natively in-memory DBMS with options for persistency, high-availability and clustering
|a GPU-based, columnar RDBMS for big data analytics workloads
|Primary database model
Time Series DBMS
|Secondary database models
|8.6, January 2023
|2022.1.6, December 2022
|License Commercial or Open Source
|Open Source Elastic License
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C and C++
|C++, CUDA, Haskell, Java, Scala
|Server operating systems
|All OS with a Java VM
|schema-free Flexible type definitions. Once a type is defined, it is persistent
|Typing predefined data types such as float or date
|yes, ANSI Standard SQL Types
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|no support of XML interfaces available
|yes All search fields are automatically indexed
|SQL Support of SQL
|SQL-like query language
|yes with the option: eXtremeSQL
|APIs and other access methods
RESTful HTTP/JSON API
|.NET Client API
RESTful HTTP API
|Supported programming languages
Community Contributed Clients
|Server-side scripts Stored procedures
|user defined functions in Python
|yes by using the 'percolation' feature
|yes by defining events
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning / sharding
|horizontal and vertical partitioning
|Replication methods Methods for redundantly storing data on multiple nodes
|Active Replication Fabric™ for IoT
Multi-source replication by means of eXtremeDB Cluster option
Source-replica replication by means of eXtremeDB High Availability option
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|yes Optimistic (MVCC) and pessimistic (locking) strategies available
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|Memcached and Redis integration
|More information provided by the system vendor
|eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
|eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
|Typical application scenarios
|IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
|Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
|With hundreds of customers and over 30 million devices/applications using the product...
|Licensing and pricing models
|For server use cases, there is a simple per-server license irrespective of the number...
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