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DBMS > Adabas vs. Blueflood vs. CrateDB vs. TerminusDB

System Properties Comparison Adabas vs. Blueflood vs. CrateDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBlueflood  Xexclude from comparisonCrateDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable TimeSeries DBMS based on CassandraDistributed Database based on LuceneScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelMultivalue DBMSTime Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlblueflood.iocratedb.comterminusdb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicratedb.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperSoftware AGRackspaceCrateDataChemist Ltd.
Initial release1971201320132018
Current release11.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJavaProlog, Rust
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Data schemeyespredefined schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query language (WOQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP RESTADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesNatural.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
JavaScript
Python
Server-side scripts infoStored proceduresin Naturalnouser defined functions (Javascript)yes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infobased on CassandraShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factor infobased on CassandraConfigurable replication on table/partition-levelJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)norights management via user accountsRole-based access control
More information provided by the system vendor
Adabas infodenotes "adaptable data base"BluefloodCrateDBTerminusDB infoformer name was DataChemist
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
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Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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Adabas infodenotes "adaptable data base"BluefloodCrateDBTerminusDB infoformer name was DataChemist
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