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DBMS > Adabas vs. Derby vs. Drizzle vs. HugeGraph vs. Kinetica

System Properties Comparison Adabas vs. Derby vs. Drizzle vs. HugeGraph vs. Kinetica

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  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.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUs
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldb.apache.org/­derbygithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlhugegraph.apache.org/­docsdocs.kinetica.com
DeveloperSoftware AGApache Software FoundationDrizzle project, originally started by Brian AkerBaiduKinetica
Initial release19711997200820182012
Current release10.17.1.0, November 20237.2.4, September 20120.97.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGNU GPLOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMFreeBSD
Linux
OS X
Linux
macOS
Unix
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalJavaC
C++
Java
PHP
Groovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin NaturalJava Stored Proceduresnoasynchronous Gremlin script jobsuser defined functions
Triggersnoyesno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsAccess rights for users and roles on table level

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More resources
Adabas infodenotes "adaptable data base"Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDrizzleHugeGraphKinetica
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