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DBMS > Ignite vs. MonetDB vs. SQream DB vs. XTDB

System Properties Comparison Ignite vs. MonetDB vs. SQream DB vs. XTDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMonetDB  Xexclude from comparisonSQream DB  Xexclude from comparisonXTDB infoformerly named Crux  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.A relational database management system that stores data in columnsa GPU-based, columnar RDBMS for big data analytics workloadsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteignite.apache.orgwww.monetdb.orgsqream.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationapacheignite.readme.io/­docswww.monetdb.org/­Documentationdocs.sqream.comwww.xtdb.com/­docs
DeveloperApache Software FoundationMonetDB BVSQream TechnologiesJuxt Ltd.
Initial release2015200420172019
Current releaseApache Ignite 2.6Dec2023 (11.49), December 20232022.1.6, December 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCC++, CUDA, Haskell, Java, ScalaClojure
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes, extensible-data-notation format
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.yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.Net
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ruser defined functions in Pythonno
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
IgniteMonetDBSQream DBXTDB infoformerly named Crux
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