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DBMS > Datastax Enterprise vs. Hyprcubd vs. Ingres vs. TimesTen vs. ToroDB

System Properties Comparison Datastax Enterprise vs. Hyprcubd vs. Ingres vs. TimesTen vs. ToroDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonTimesTen  Xexclude from comparisonToroDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Serverless Time Series DBMSWell established RDBMSAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelWide column storeTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisehyprcubd.com (offline)www.actian.com/­databases/­ingreswww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­torodb/­server
Technical documentationdocs.datastax.comdocs.actian.com/­ingresdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDataStaxHyprcubd, Inc.Actian CorporationOracle infooriginally founded in HP Labs it was acquired by Oracle in 20058Kdata
Initial release20111974 infooriginally developed at University Berkely in early 1970s19982016
Current release6.8, April 202012.0, July 2024Release 22.1
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaGoCJava
Server operating systemsLinux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
All OS with a Java 7 VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesyes infostring, integer, double, boolean, date, object_id
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingIngres ReplicatorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per objecttoken accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseHyprcubdIngresTimesTenToroDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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
» more

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More resources
Datastax EnterpriseHyprcubdIngresTimesTenToroDB
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