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DBMS > Amazon CloudSearch vs. Datomic vs. FileMaker vs. Vertica vs. Weaviate

System Properties Comparison Amazon CloudSearch vs. Datomic vs. FileMaker vs. Vertica vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonFileMaker  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMS infoColumn orientedVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.comwww.claris.com/­filemakerwww.vertica.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.comwww.claris.com/­resources/­documentationvertica.com/­documentationweaviate.io/­developers/­weaviate
DeveloperAmazonCognitectClaris infoa subsidiary of AppleOpenText infopreviously Micro Focus and Hewlett PackardWeaviate B.V.
Initial release20122012198320052019
Current release1.0.6735, June 202319.4.1, November 202112.0.3, January 20231.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial infoLimited community edition freeOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Go
Server operating systemshostedAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyes infoall search fields are automatically indexedyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyes infovia pluginsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.GraphQL is used as query language
APIs and other access methodsHTTP APIRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
PHPC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesyes, PostgreSQL PL/pgSQL, with minor differencesno
TriggersnoBy using transaction functionsyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersnonehorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlauthentication via encrypted signaturesnosimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon CloudSearchDatomicFileMakerVertica infoOpenText™ Vertica™Weaviate
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
All companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Amazon CloudSearchDatomicFileMakerVertica infoOpenText™ Vertica™Weaviate
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