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DBMS > GreptimeDB vs. Microsoft Access vs. TinkerGraph vs. Weaviate

System Properties Comparison GreptimeDB vs. Microsoft Access vs. TinkerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegreptime.comwww.microsoft.com/­en-us/­microsoft-365/­accesstinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.greptime.comdeveloper.microsoft.com/­en-us/­accessweaviate.io/­developers/­weaviate
DeveloperGreptime Inc.MicrosoftWeaviate B.V.
Initial release2022199220092019
Current release1902 (16.0.11328.20222), March 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++JavaGo
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-free, schema definition possibleyesschema-freeyes, 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.nonono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoGraphQL is used as query language
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
DAO
ODBC
OLE DB
TinkerPop 3GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Groovy
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonyes infosince Access 2010 using the ACE-enginenono
Triggersyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSimple rights management via user accountsno infoa simple user-level security was built in till version Access 2003noAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GreptimeDBMicrosoft AccessTinkerGraphWeaviate
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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GreptimeDBMicrosoft AccessTinkerGraphWeaviate
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