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DBMS > Adabas vs. HEAVY.AI vs. Hypertable vs. TDSQL for MySQL vs. VelocityDB

System Properties Comparison Adabas vs. HEAVY.AI vs. Hypertable vs. TDSQL for MySQL vs. VelocityDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelMultivalue DBMSRelational DBMSWide column storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
www.tencentcloud.com/­products/­dcdbvelocitydb.com
Technical documentationdocs.heavy.aiwww.tencentcloud.com/­document/­product/­1042velocitydb.com/­UserGuide
DeveloperSoftware AGHEAVY.AI, Inc.Hypertable Inc.TencentVelocityDB Inc
Initial release19712016200920132011
Current release5.10, January 20220.9.8.11, March 20167.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
hostedAny that supports .NET
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesnoyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
JDBC
ODBC
.Net
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresin Naturalnonoyesno
TriggersnononoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoRound robinShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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.noyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptBased on Windows Authentication

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More resources
Adabas infodenotes "adaptable data base"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableTDSQL for MySQLVelocityDB
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