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DBMS > Adabas vs. Apache Druid vs. Sphinx vs. Weaviate

System Properties Comparison Adabas vs. Apache Druid vs. Sphinx vs. Weaviate

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen source search engine for searching in data from different sources, e.g. relational databasesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Search engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgsphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdruid.apache.org/­docs/­latest/­designsphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperSoftware AGApache Software Foundation and contributorsSphinx Technologies Inc.Weaviate B.V.
Initial release1971201220012019
Current release29.0.1, April 20243.5.1, February 20231.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoGPL version 2, commercial licence availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesyesyes infofull-text index on all search fieldsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingSQL-like query language (SphinxQL)GraphQL is used as query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresin Naturalnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache DruidSphinxWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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Adabas infodenotes "adaptable data base"Apache DruidSphinxWeaviate
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