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DBMS > Adabas vs. Cassandra vs. Microsoft Azure Data Explorer vs. Realm vs. VoltDB

System Properties Comparison Adabas vs. Cassandra vs. Microsoft Azure Data Explorer vs. Realm vs. VoltDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCassandra  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRealm  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessFully managed big data interactive analytics platformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelMultivalue DBMSWide column storeRelational DBMS infocolumn orientedDocument storeRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score101.89
Rank#12  Overall
#1  Wide column stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcassandra.apache.orgazure.microsoft.com/­services/­data-explorerrealm.iowww.voltdb.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.microsoft.com/­en-us/­azure/­data-explorerrealm.io/­docsdocs.voltdb.com
DeveloperSoftware AGApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftRealm, acquired by MongoDB in May 2019VoltDB Inc.
Initial release19712008201920142010
Current release4.1.3, July 2023cloud service with continuous releases11.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJava, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X infofor development
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.nonoyesno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like SELECT, DML and DDL statements (CQL)Kusto Query Language (KQL), SQL subsetnoyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesNaturalC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresin NaturalnoYes, possible languages: KQL, Python, Rno inforuns within the applications so server-side scripts are unnecessaryJava
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infono "single point of failure"Sharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users can be defined per objectAzure Active Directory AuthenticationyesUsers and roles with access to stored procedures
More information provided by the system vendor
Adabas infodenotes "adaptable data base"CassandraMicrosoft Azure Data ExplorerRealmVoltDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more

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Adabas infodenotes "adaptable data base"CassandraMicrosoft Azure Data ExplorerRealmVoltDB
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