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DBMS > Datomic vs. Hypertable vs. SAP SQL Anywhere vs. SQream DB vs. Typesense

System Properties Comparison Datomic vs. Hypertable vs. SAP SQL Anywhere vs. SQream DB vs. Typesense

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQream DB  Xexclude from comparisonTypesense  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 durabilityAn open source BigTable implementation based on distributed file systems such as HadoopRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsa GPU-based, columnar RDBMS for big data analytics workloadsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.datomic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqream.comtypesense.org
Technical documentationdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.sqream.comtypesense.org/­docs
DeveloperCognitectHypertable Inc.SAP infoformerly SybaseSQream Technologies
Initial release20122009199220172015
Current release1.0.7075, December 20230.9.8.11, March 201617, July 20152022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-freeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
ADO.NET
HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes, in C/C++, Java, .Net or Perluser defined functions in Pythonno
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication infoDatabase mirroringnoneMulti-source replication using RAFT
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)yesyesyesyes
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 developmentyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
DatomicHypertableSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DBTypesense
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