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DBMS > Adabas vs. Amazon CloudSearch vs. CockroachDB vs. Geode vs. Microsoft Azure AI Search

System Properties Comparison Adabas vs. Amazon CloudSearch vs. CockroachDB vs. Geode vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonCockroachDB  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA hosted search engine service by Amazon with the data stored in Amazons cloudCockroachDB 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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSearch-as-a-service for web and mobile app development
Primary database modelMultivalue DBMSSearch engineRelational DBMSKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­cloudsearchwww.cockroachlabs.comgeode.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.cockroachlabs.com/­docsgeode.apache.org/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGAmazonCockroach LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release19712012201520022015
Current release24.1.0, May 20241.1, February 2017V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
macOS
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes, wire compatible with PostgreSQLSQL-like query language (OQL)no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP APIJDBCJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesNaturalC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresin Naturalnonouser defined functionsno
Triggersnononoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistayes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal 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 RAFTShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infomanaged transparently by AWSMulti-source replication using RAFTMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes, on a single nodeno
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.nonoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)authentication via encrypted signaturesRole-based access controlAccess rights per client and object definableyes infousing Azure authentication

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More resources
Adabas infodenotes "adaptable data base"Amazon CloudSearchCockroachDBGeodeMicrosoft Azure AI Search
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