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DBMS > Adabas vs. Drizzle vs. IBM Db2 Event Store vs. JanusGraph vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. Drizzle vs. IBM Db2 Event Store vs. JanusGraph vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 platformMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Distributed 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 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSRelational DBMSEvent Store
Time Series DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.ibm.com/­products/­db2-event-storejanusgraph.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGDrizzle project, originally started by Brian AkerIBMLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release19712008201720172016
Current release7.2.4, September 20122.00.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infofree developer edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
hosted
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infowith proprietary extensionsyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalC
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
C#
Java
PHP
Server-side scripts infoStored proceduresin NaturalnoyesyesTransact SQL
Triggersnono infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
Active-active shard replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - 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, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes

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More resources
Adabas infodenotes "adaptable data base"DrizzleIBM Db2 Event StoreJanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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