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DBMS > Datastax Enterprise vs. GigaSpaces vs. HBase

System Properties Comparison Datastax Enterprise vs. GigaSpaces vs. HBase

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHBase  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelWide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.gigaspaces.comhbase.apache.org
Technical documentationdocs.datastax.comdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.html
DeveloperDataStaxGigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release201120002008
Current release6.8, April 202015.5, September 20202.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
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 languageJavaJava, C++, .NetJava
Server operating systemsLinux
OS X
Linux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeschema-freeschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVRO
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 infoXML can be used for describing objects metadatano
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-99 for query and DML statementsno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in Java
Triggersyesyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 objectRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
Datastax EnterpriseGigaSpacesHBase
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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Datastax EnterpriseGigaSpacesHBase
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