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DBMS > Adabas vs. Hawkular Metrics vs. HEAVY.AI vs. IBM Db2 Event Store vs. JanusGraph

System Properties Comparison Adabas vs. Hawkular Metrics vs. HEAVY.AI vs. IBM Db2 Event Store vs. JanusGraph

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelMultivalue DBMSTime Series DBMSRelational DBMSEvent Store
Time Series DBMS
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storejanusgraph.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.org
DeveloperSoftware AGCommunity supported by Red HatHEAVY.AI, Inc.IBMLinux Foundation; originally developed as Titan by Aurelius
Initial release19712014201620172017
Current release5.10, January 20222.00.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC and C++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes
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.nonononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP RESTJDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesNaturalGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresin Naturalnonoyesyes
Triggersnoyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infobased on CassandraSharding infoRound robinShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factor infobased on CassandraMulti-source replicationActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
Adabas infodenotes "adaptable data base"Hawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreJanusGraph infosuccessor of Titan
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