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DBMS > Apache Ignite vs. CrateDB vs. eXtremeDB

System Properties Comparison Apache Ignite vs. CrateDB vs. eXtremeDB

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Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonCrateDB  Xexclude from comparisoneXtremeDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Distributed Database based on LuceneNatively in-memory DBMS with options for persistency, high-availability and clustering
Primary database modelKey-value store
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#88  Overall
#12  Key-value stores
#47  Relational DBMS
Score0.66
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#12  Vector DBMS
Score0.99
Rank#185  Overall
#87  Relational DBMS
#17  Time Series DBMS
Websiteignite.apache.orgcratedb.comwww.mcobject.com
Technical documentationapacheignite.readme.io/­docscratedb.com/­docswww.mcobject.com/­docs/­extremedb.htm
DeveloperApache Software FoundationCrateMcObject
Initial release201520132001
Current release2.16.0, December 20235.8.1, August 20248.2, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetJavaC and C++
Server operating systemsLinux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono infosupport of XML interfaces available
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infowith the option: eXtremeSQL
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C#
C++
Java
Lua
Python
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions (Javascript)yes
Triggersyes (cache interceptors and events)noyes infoby defining events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Configurable replication on table/partition-levelActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies available
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accounts

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More resources
Apache IgniteCrateDBeXtremeDB
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