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DBMS > 4D vs. Datastax Enterprise vs. Datomic vs. Hypertable

System Properties Comparison 4D vs. Datastax Enterprise vs. Datomic vs. Hypertable

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemDataStax 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSWide column storeRelational DBMSWide column 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
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Websitewww.4d.comwww.datastax.com/­products/­datastax-enterprisewww.datomic.com
Technical documentationdeveloper.4d.comdocs.datastax.comdocs.datomic.com
Developer4D, IncDataStaxCognitectHypertable Inc.
Initial release1984201120122009
Current releasev20, April 20236.8, April 20201.0.6735, June 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license available
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 languageJavaJava, ClojureC++
Server operating systemsOS X
Windows
Linux
OS X
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIC++ API
Thrift
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoTransaction Functionsno
TriggersyesyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"none infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peersselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and development
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per objectnono
More information provided by the system vendor
4D infoformer name: 4th DimensionDatastax EnterpriseDatomicHypertable
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
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4D infoformer name: 4th DimensionDatastax EnterpriseDatomicHypertable
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