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DBMS > Adabas vs. AgensGraph vs. AlaSQL vs. Google Cloud Datastore vs. KairosDB

System Properties Comparison Adabas vs. AgensGraph vs. AlaSQL vs. Google Cloud Datastore vs. KairosDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAgensGraph  Xexclude from comparisonAlaSQL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMulti-model database supporting relational and graph data models and built upon PostgreSQLJavaScript DBMS libraryAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed Time Series DBMS based on Cassandra or H2
Primary database modelMultivalue DBMSGraph DBMS
Relational DBMS
Document store
Relational DBMS
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlbitnine.net/­agensgraphalasql.orgcloud.google.com/­datastoregithub.com/­kairosdb/­kairosdb
Technical documentationbitnine.net/­documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­datastore/­docskairosdb.github.io
DeveloperSoftware AGBitnine Global Inc.Andrey Gershun & Mathias R. WulffGoogle
Initial release19712016201420082013
Current release2.1, December 20181.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoMIT-LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaScriptJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
Data schemeyesdepending on used data modelschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, details hereyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (GQL)no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Cypher Query Language
JDBC
JavaScript APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesNaturalC
Java
JavaScript
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresin Naturalyesnousing Google App Engineno
TriggersnonoyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistano, but can be realized using table inheritancenoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationnoneMulti-source replication using Paxosselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoonly for local storage and DOM-storageACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
Adabas infodenotes "adaptable data base"AgensGraphAlaSQLGoogle Cloud DatastoreKairosDB
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