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DBMS > Datastax Enterprise vs. H2 vs. Ignite

System Properties Comparison Datastax Enterprise vs. H2 vs. Ignite

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonH2  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelWide column storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.15
Rank#42  Overall
#4  Wide column stores
Score6.81
Rank#49  Overall
#30  Relational DBMS
Score4.45
Rank#68  Overall
#11  Key-value stores
#37  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.h2database.comignite.apache.org
Technical documentationdocs.datastax.comwww.h2database.com/­html/­main.htmlapacheignite.readme.io/­docs
DeveloperDataStaxThomas MuellerApache Software Foundation
Initial release201120052015
Current release6.7, December 20181.4.199, March 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, .Net
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardSecurity Hooks for custom implementations
More information provided by the system vendor
Datastax EnterpriseH2Ignite
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
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Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
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Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
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More resources
Datastax EnterpriseH2Ignite
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