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DBMS > Datomic vs. Hypertable vs. InterSystems Caché vs. SAP SQL Anywhere vs. WakandaDB

System Properties Comparison Datomic vs. Hypertable vs. InterSystems Caché vs. SAP SQL Anywhere vs. WakandaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonWakandaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore 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 HadoopA multi-model DBMS and application serverRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSWide column storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwakanda.github.io
Technical documentationdocs.datomic.comdocs.intersystems.comhelp.sap.com/­docs/­SAP_SQL_Anywherewakanda.github.io/­doc
DeveloperCognitectHypertable Inc.InterSystemsSAP infoformerly SybaseWakanda SAS
Initial release20122009199719922012
Current release1.0.6735, June 20230.9.8.11, March 20162018.1.4, May 202017, July 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyesyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesyes, in C/C++, Java, .Net or Perlyes
TriggersBy using transaction functionsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenonenone
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 replicationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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 developmentyesyesno
User concepts infoAccess controlnonoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardyes

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More resources
DatomicHypertableInterSystems CachéSAP SQL Anywhere infoformerly called Adaptive Server AnywhereWakandaDB
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