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DBMS > Datastax Enterprise vs. Ingres vs. ObjectBox vs. Prometheus

System Properties Comparison Datastax Enterprise vs. Ingres vs. ObjectBox vs. Prometheus

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIngres  Xexclude from comparisonObjectBox  Xexclude from comparisonPrometheus  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.Well established RDBMSExtremely fast embedded database for small devices, IoT and MobileOpen-source Time Series DBMS and monitoring system
Primary database modelWide column storeRelational DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.actian.com/­databases/­ingresobjectbox.ioprometheus.io
Technical documentationdocs.datastax.comdocs.actian.com/­ingresdocs.objectbox.ioprometheus.io/­docs
DeveloperDataStaxActian CorporationObjectBox Limited
Initial release20111974 infooriginally developed at University Berkely in early 1970s20172015
Current release6.8, April 202011.2, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaCC and C++Go
Server operating systemsLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nono infobut tools for importing/exporting data from/to XML-files availablenono infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary native APIRESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyesnono
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 Replicatoronline/offline synchronization between client and serveryes infoby Federation
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
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
Datastax EnterpriseIngresObjectBoxPrometheus
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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