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DBMS > Datomic vs. Hazelcast vs. Hypertable vs. NSDb

System Properties Comparison Datomic vs. Hazelcast vs. Hypertable vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparisonNSDb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSKey-value storeWide column storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.datomic.comhazelcast.comnsdb.io
Technical documentationdocs.datomic.comhazelcast.org/­imdg/­docsnsdb.io/­Architecture
DeveloperCognitectHazelcastHypertable Inc.
Initial release2012200820092017
Current release1.0.6735, June 20235.3.6, November 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++Java, Scala
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes: int, bigint, decimal, string
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoEvent Listeners, Executor Servicesnono
TriggersBy using transaction functionsyes infoEventsno
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 peersyes infoReplicated Mapselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednono
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)yesyesUsing Apache Lucene
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 developmentyes
User concepts infoAccess controlnoRole-based access controlno

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More resources
DatomicHazelcastHypertableNSDb
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