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DBMS > GridDB vs. InfluxDB vs. TigerGraph vs. TimescaleDB

System Properties Comparison GridDB vs. InfluxDB vs. TigerGraph vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDBMS for storing time series, events and metricsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#169  Overall
#10  Time Series DBMS
Score27.17
Rank#29  Overall
#1  Time Series DBMS
Score1.74
Rank#123  Overall
#9  Graph DBMS
Score2.90
Rank#93  Overall
#5  Time Series DBMS
Websitegriddb.netwww.influxdata.com/­products/­influxdb-overviewwww.tigergraph.comwww.timescale.com
Technical documentationdocs.griddb.netdocs.influxdata.com/­influxdbdocs.tigergraph.comdocs.timescale.com
DeveloperToshiba CorporationTimescale
Initial release2013201320172017
Current release4.5, June 20202.0.2, November 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache 2.0
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 languageC++GoC++C
Server operating systemsLinuxLinux
OS X infothrough Homebrew
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampNumeric data and Stringsyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query language (GSQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocolHTTP API
JSON over UDP
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlySource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoDepending on used storage enginenono
User concepts infoAccess controlAccess rights for users can be defined per databasesimple rights management via user accountsRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBInfluxDBTigerGraphTimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsGitHub trending repository
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source core with closed source clustering available either on-premise or on...
» more
Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
News

Release Announcement: Telegraf 1.18.2
30 April 2021

Release Announcement: InfluxDB OSS 2.0.6
29 April 2021

Deploying Services with Docker, NGINX, Route 53 & Let’s Encrypt
26 April 2021

Release Announcement: InfluxDB OSS and InfluxDB Enterprise 1.8.5
20 April 2021

InfluxDB’s Checks and Notifications System
19 April 2021

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GridDBInfluxDBTigerGraphTimescaleDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Toshiba's Innovative GridDB NoSQL Database Affords Unlimited IoT Possibilities
24 April 2017, Business Wire

Trend-Setting Products in Data and Information Management for 2020
4 December 2019, Database Trends and Applications

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InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
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InfluxDB Makes it Easier for Disparate Devs to Collaborate on Time Series Data -- ADTmag
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Graph Analytics Market Research 2021 Observational studies with leading manufacturers| Microsoft, Ibm, Aws, Oracle, Neo4j, Tigergraph – KSU | The Sentinel Newspaper
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TigerGraph raises $105M Series C for its enterprise graph database
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Timescale Raises $40M Series B as Cloud Adoption of Its Database Accelerates
5 May 2021, Business Wire

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale Brings Powerful Time-Series Data Analysis to Developers Worldwide, Now Available in 75+ Cloud Regions
12 August 2020, Business Wire

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale's $40 Million Series B Financing – Global Legal Chronicle
11 May 2021, Global Legal Chronicle

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