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DBMS > GreptimeDB vs. Microsoft Access vs. Sphinx vs. TigerGraph

System Properties Comparison GreptimeDB vs. Microsoft Access vs. Sphinx vs. TigerGraph

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonTigerGraph  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.)Open source search engine for searching in data from different sources, e.g. relational databasesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSRelational DBMSSearch engineGraph 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
Score5.95
Rank#55  Overall
#5  Search engines
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitegreptime.comwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comwww.tigergraph.com
Technical documentationdocs.greptime.comdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docsdocs.tigergraph.com
DeveloperGreptime Inc.MicrosoftSphinx Technologies Inc.
Initial release2022199220012017
Current release1902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availablecommercial
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++C++C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)SQL-like query language (GSQL)
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Server-side scripts infoStored proceduresPythonyes infosince Access 2010 using the ACE-enginenoyes
Triggersyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlSimple rights management via user accountsno infoa simple user-level security was built in till version Access 2003noRole-based access control
More information provided by the system vendor
GreptimeDBMicrosoft AccessSphinxTigerGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBMicrosoft AccessSphinxTigerGraph
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