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DBMS > Adabas vs. Amazon Redshift vs. Datomic vs. RavenDB

System Properties Comparison Adabas vs. Amazon Redshift vs. Datomic vs. RavenDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#76  Overall
#1  Multivalue DBMS
Score22.42
Rank#33  Overall
#19  Relational DBMS
Score1.96
Rank#117  Overall
#57  Relational DBMS
Score3.24
Rank#88  Overall
#14  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­redshiftwww.datomic.comravendb.net
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comravendb.net/­docs
DeveloperSoftware AGAmazon (based on PostgreSQL)CognitectHibernating Rhinos
Initial release1971201220122010
Current release0.9.5951, July 20195.1, November 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageCJava, ClojureC#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infodoes not fully support an SQL-standardnoSQL-like query language (RQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
RESTful HTTP API.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesNaturalAll languages supporting JDBC/ODBCClojure
Java
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin Pythonyes infoTransaction Functionsyes
TriggersnonoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesnone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and development
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardnoAccess control on document level using the Authorization Bundle
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Amazon RedshiftDatomicRavenDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
Adabas infodenotes "adaptable data base"Amazon RedshiftDatomicRavenDB
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