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DBMS > atoti vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Weaviate

System Properties Comparison atoti vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Weaviate

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteatoti.iowww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsweaviate.io/­developers/­weaviate
DeveloperActiveViamCCRi and othersMicrosoftWeaviate B.V.
Initial release201420162019
Current release4.0.5, February 20241.19, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++Go
Server operating systemshosted
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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 infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Java
PHP
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonnoTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
atotiGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviate
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...
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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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More resources
atotiGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviate
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