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DBMS > Adabas vs. Google Cloud Bigtable vs. Graph Engine vs. OpenEdge vs. YottaDB

System Properties Comparison Adabas vs. Google Cloud Bigtable vs. Graph Engine vs. OpenEdge vs. YottaDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenEdge  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApplication development environment with integrated database management systemA fast and solid embedded Key-value store
Primary database modelMultivalue DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcloud.google.com/­bigtablewww.graphengine.iowww.progress.com/­openedgeyottadb.com
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latestyottadb.com/­resources/­documentation
DeveloperSoftware AGGoogleMicrosoftProgress Software CorporationYottaDB, LLC
Initial release19712015201019842001
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicensecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hosted.NETAIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyes infoclose to SQL 92by using the Octo plugin
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesNaturalC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
Progress proprietary ABL (Advanced Business Language)C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresin Naturalnoyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardinghorizontal partitioninghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users and groupsUsers and groups based on OS-security mechanisms

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More resources
Adabas infodenotes "adaptable data base"Google Cloud BigtableGraph Engine infoformer name: TrinityOpenEdgeYottaDB
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