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DBMS > Adabas vs. CockroachDB vs. Google Cloud Bigtable vs. Riak TS vs. SWC-DB

System Properties Comparison Adabas vs. CockroachDB vs. Google Cloud Bigtable vs. Riak TS vs. SWC-DB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRiak TS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA high performance, scalable Wide Column DBMS
Primary database modelMultivalue DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.cockroachlabs.comcloud.google.com/­bigtablegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperSoftware AGCockroach LabsGoogleOpen Source, formerly Basho TechnologiesAlex Kashirin
Initial release19712015201520152020
Current release24.1.0, May 20243.0.0, September 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
macOS
Windows
hostedLinux
OS X
Linux
Data schemeyesdynamic schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesyesnorestricted
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes, wire compatible with PostgreSQLnoyes, limitedSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Native Erlang Interface
Proprietary protocol
Thrift
Supported programming languagesNaturalC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Server-side scripts infoStored proceduresin NaturalnonoErlangno
Triggersnononoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsno
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.nononono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Role-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Adabas infodenotes "adaptable data base"CockroachDBGoogle Cloud BigtableRiak TSSWC-DB infoSuper Wide Column Database
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