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DBMS > Realm vs. TimescaleDB vs. Vertica vs. Weaviate

System Properties Comparison Realm vs. TimescaleDB vs. Vertica vs. Weaviate

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud 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 modelDocument storeTime Series DBMSRelational DBMS infoColumn orientedVector DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiterealm.iowww.timescale.comwww.vertica.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationrealm.io/­docsdocs.timescale.comvertica.com/­documentationweaviate.io/­developers/­weaviate
DeveloperRealm, acquired by MongoDB in May 2019TimescaleOpenText infopreviously Micro Focus and Hewlett PackardWeaviate B.V.
Initial release2014201720052019
Current release2.13.0, November 202312.0.3, January 20231.19, May 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial infoLimited community edition freeOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Go
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesYes, 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 dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes 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.noyesnono
Secondary indexesyesyesNo 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 SQLnoyes infofull PostgreSQL SQL syntaxFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.GraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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 languages.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyes infoChange Listenersyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, across time and space (hash partitioning) attributeshorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with hot standby and reads on replicas infoMulti-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 methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmnonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
RealmTimescaleDBVertica 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...
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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
RealmTimescaleDBVertica infoOpenText™ Vertica™Weaviate
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