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DBMS > Datomic vs. HBase vs. NSDb vs. Teradata Aster

System Properties Comparison Datomic vs. HBase vs. NSDb vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.comhbase.apache.orgnsdb.io
Technical documentationdocs.datomic.comhbase.apache.org/­book.htmlnsdb.io/­Architecture
DeveloperCognitectApache Software Foundation infoApache top-level project, originally developed by PowersetTeradata
Initial release2012200820172005
Current release1.0.7075, December 20232.3.4, January 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJava, Scala
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS
Linux
Data schemeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes: int, bigint, decimal, stringyes
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.nononoyes infoin Aster File Store
Secondary indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoCoprocessors in JavanoR packages
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
DatomicHBaseNSDbTeradata Aster
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