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DBMS > DataFS vs. Drizzle vs. Immudb vs. Kinetica vs. SAP SQL Anywhere

System Properties Comparison DataFS vs. Drizzle vs. Immudb vs. Kinetica vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDrizzle  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#362  Overall
#17  Object oriented DBMS
Score0.25
Rank#307  Overall
#43  Key-value stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitenewdatabase.comgithub.com/­codenotary/­immudb
immudb.io
www.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdev.mobiland.com/­Overview.xspdocs.immudb.iodocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperMobiland AGDrizzle project, originally started by Brian AkerCodenotaryKineticaSAP infoformerly Sybase
Initial release20182008202020121992
Current release1.1.263, October 20227.2.4, September 20121.2.3, April 20227.1, August 202117, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2.0commercialcommercial
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 languageC++GoC, C++
Server operating systemsWindowsFreeBSD
Linux
OS X
BSD
Linux
macOS
Solaris
Windows
z/OS
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like syntaxSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBCgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersno, except callback-events from server when changes happenedno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlWindows-ProfilePluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
DataFSDrizzleImmudbKineticaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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