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DBMS > Datastax Enterprise vs. Heroic vs. Netezza vs. Oracle Coherence

System Properties Comparison Datastax Enterprise vs. Heroic vs. Netezza vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Coherence  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchData warehouse and analytics appliance part of IBM PureSystemsOracles in-memory data grid solution
Primary database modelWide column storeTime Series DBMSRelational DBMSKey-value 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
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­spotify/­heroicwww.ibm.com/­products/­netezzawww.oracle.com/­java/­coherence
Technical documentationdocs.datastax.comspotify.github.io/­heroicdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDataStaxSpotifyIBMOracle
Initial release2011201420002007
Current release6.8, April 202014.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaJavaJava
Server operating systemsLinux
OS X
Linux infoincluded in applianceAll OS with a Java VM
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Java
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per objectUsers with fine-grained authorization conceptauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Datastax EnterpriseHeroicNetezza infoAlso called PureData System for Analytics by IBMOracle Coherence
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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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...
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Licensing and pricing modelsAnnual subscription
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More resources
Datastax EnterpriseHeroicNetezza infoAlso called PureData System for Analytics by IBMOracle Coherence
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