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DBMS > Graphite vs. OpenQM vs. PlanetScale vs. Tarantool

System Properties Comparison Graphite vs. OpenQM vs. PlanetScale vs. Tarantool

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPlanetScale  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperQpenQM is a high-performance, self-tuning, multi-value DBMSScalable, distributed, serverless MySQL database platform built on top of VitessIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmplanetscale.comwww.tarantool.io
Technical documentationgraphite.readthedocs.ioplanetscale.com/­docswww.tarantool.io/­en/­doc
DeveloperChris DavisRocket Software, originally Martin PhillipsPlanetScaleVK
Initial release2006199320202008
Current release3.4-122.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availablecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonGoC and C++
Server operating systemsLinux
Unix
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
BSD
Linux
macOS
Data schemeyesyes infowith some exceptionsyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateNumeric data onlyyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsFull-featured ANSI SQL support
APIs and other access methodsHTTP API
Sockets
ADO.NET
JDBC
MySQL protocol
ODBC
Open binary protocol
Supported programming languagesJavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxLua, C and SQL stored procedures
Triggersnoyesyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes infotable locks or row locks depending on storage engineyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
GraphiteOpenQM infoalso called QMPlanetScaleTarantool
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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