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DBMS > Datastax Enterprise vs. ObjectBox vs. SQream DB vs. TigerGraph

System Properties Comparison Datastax Enterprise vs. ObjectBox vs. SQream DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparisonTigerGraph  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.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsa GPU-based, columnar RDBMS for big data analytics workloadsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeObject oriented DBMS
Vector DBMS
Relational DBMSGraph 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
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­objectbox
objectbox.io
sqream.comwww.tigergraph.com
Technical documentationdocs.datastax.comdocs.objectbox.iodocs.sqream.comdocs.tigergraph.com
DeveloperDataStaxObjectBox LimitedSQream Technologies
Initial release2011201720172017
Current release6.8, April 20204.0 (May 2024)2022.1.6, December 2022
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0commercialcommercial
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 languageJavaC and C++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemsLinux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyesSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Proprietary native API.Net
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnonouser defined functions in Pythonyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
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 Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per objectyesRole-based access control
More information provided by the system vendor
Datastax EnterpriseObjectBoxSQream DBTigerGraph
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...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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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
» more
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More resources
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