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DBMS > Graphite vs. Raima Database Manager vs. Splice Machine vs. TDengine

System Properties Comparison Graphite vs. Raima Database Manager vs. Splice Machine vs. TDengine

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS with a small footprint, either embedded into an application or used as a database serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­graphite-project/­graphite-webraima.comsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgraphite.readthedocs.iodocs.raima.comsplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperChris DavisRaima Inc.Splice MachineTDEngine, previously Taos Data
Initial release2006198420142019
Current release15, June 20213.1, March 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions available
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 languagePythonCJavaC
Server operating systemsLinux
Unix
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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 infoExporting/Importing of XML structures possibleno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesyesStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
Sockets
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJavaScript (Node.js)
Python
.Net
C
C++
Objective-C
PL/SQL
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes infoJavano
Triggersnoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.yesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
GraphiteRaima Database Manager infoformerly named db_VistaSplice MachineTDengine
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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19 May 2020

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8 May 2024

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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
GraphiteRaima Database Manager infoformerly named db_VistaSplice MachineTDengine
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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