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DBMS > Datomic vs. Hypertable vs. Lovefield vs. SQream DB vs. Yanza

System Properties Comparison Datomic vs. Hypertable vs. Lovefield vs. SQream DB vs. Yanza

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonSQream DB  Xexclude from comparisonYanza  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic 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 HadoopEmbeddable relational database for web apps written in pure JavaScripta GPU-based, columnar RDBMS for big data analytics workloadsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.datomic.comgoogle.github.io/­lovefieldsqream.comyanza.com
Technical documentationdocs.datomic.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.sqream.com
DeveloperCognitectHypertable Inc.GoogleSQream TechnologiesYanza
Initial release20122009201420172015
Current release1.0.6735, June 20230.9.8.11, March 20162.1.12, February 20172022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++JavaScriptC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxWindows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesno
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 indexesyesrestricted infoonly exact value or prefix value scansyesnono
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
.Net
JDBC
ODBC
HTTP API
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
JavaScriptC++
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions in Pythonno
TriggersBy using transaction functionsnoUsing read-only observersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
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 infousing MemoryDB
User concepts infoAccess controlnononono

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More resources
DatomicHypertableLovefieldSQream DBYanza
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