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DBMS > Amazon DocumentDB vs. GreptimeDB vs. TigerGraph vs. Weaviate

System Properties Comparison Amazon DocumentDB vs. GreptimeDB vs. TigerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeTime Series DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­documentdbgreptime.comwww.tigergraph.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greptime.comdocs.tigergraph.comweaviate.io/­developers/­weaviate
DeveloperGreptime Inc.Weaviate B.V.
Initial release2019202220172019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Go
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-free, schema definition possibleyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSQL-like query language (GSQL)GraphQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
HTTP API
JDBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoPythonyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsRole-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DocumentDBGreptimeDBTigerGraphWeaviate
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
All companies that have data. ​
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBGreptimeDBTigerGraphWeaviate
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