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DBMS > GreptimeDB vs. Microsoft Access vs. Newts vs. PlanetScale

System Properties Comparison GreptimeDB vs. Microsoft Access vs. Newts vs. PlanetScale

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparisonPlanetScale  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.)Time Series DBMS based on CassandraScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitegreptime.comwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newtsplanetscale.com
Technical documentationdocs.greptime.comdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wikiplanetscale.com/­docs
DeveloperGreptime Inc.MicrosoftOpenNMS GroupPlanetScale
Initial release2022199220142020
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++JavaGo
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoyes infowith proprietary extensions
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonyes infosince Access 2010 using the ACE-enginenoyes infoproprietary syntax
Triggersyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSimple rights management via user accountsno infoa simple user-level security was built in till version Access 2003noUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GreptimeDBMicrosoft AccessNewtsPlanetScale
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 AccessNewtsPlanetScale
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