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DBMS > Adabas vs. Cassandra vs. Vertica

System Properties Comparison Adabas vs. Cassandra vs. Vertica

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCassandra  Xexclude from comparisonVertica infoVertica Analytics Platform  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 accessColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelMultivalue DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.34
Rank#70  Overall
#1  Multivalue DBMS
Score120.71
Rank#10  Overall
#1  Wide column stores
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlcassandra.apache.orgwww.vertica.com
Technical documentationcassandra.apache.org/­doc/­latestwww.vertica.com/­documentation/­vertica
DeveloperSoftware AGApache Software Foundation infoApache top level project, originally developped by FacebookVertica / Micro Focus infoprior to that Hewlett Packard
Initial release197120082005
Current release3.11.5, October 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like SELECT, DML and DDL statements (CQL)yes infonearly full SQL99 without support for indexes and triggers
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
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesNaturalC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresin Naturalnoyes
Triggersnoyesno
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 infoSegmentation, Projection Segmentation, Hash Segmentation
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 possibleMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users can be defined per objectfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Adabas infodenotes "adaptable data base"CassandraVertica infoVertica Analytics Platform
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» more

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More resources
Adabas infodenotes "adaptable data base"CassandraVertica infoVertica Analytics Platform
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