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DBMS > GridDB vs. ScyllaDB vs. TimescaleDB

System Properties Comparison GridDB vs. ScyllaDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataCassandra and DynamoDB compatible wide column storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSKey-value store
Wide column store
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#162  Overall
#10  Time Series DBMS
Score2.71
Rank#102  Overall
#19  Key-value stores
#8  Wide column stores
Score3.24
Rank#93  Overall
#5  Time Series DBMS
Websitegriddb.netwww.scylladb.comwww.timescale.com
Technical documentationdocs.griddb.netdocs.scylladb.comdocs.timescale.com
DeveloperToshiba CorporationScyllaDBTimescale
Initial release201320152017
Current release4.5, June 2020Scylla Open Source 4.3, January 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++C
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnumerics, 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.nonoyes
Secondary indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statements (CQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocolProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, Luauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-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 jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBScyllaDBTimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» 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
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» 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
AdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
» 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
Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsGitHub trending repository
» 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
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
Related products and services
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

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

More resources
GridDBScyllaDBTimescaleDB
Conferences and events

Scylla Virtual Workshop
Virtual Workshop, 10 AM PT / 1 PM ET / 6 PM BST, 25 June 2021

Scylla University LIVE (EMEA and APAC)
12PM-4PM GMT / 2PM-6PM CEST / 5:30PM-9:30PM IST, 28 July 2021

Scylla University LIVE (AMERICAS)
9AM-1PM PT / 12PM-4PM ET / 1PM-5PM BRT, 29 July 2021

Finished events

Building Event Streaming Architectures on Scylla and Kafka
Webinar, 10 AM PT / 1 PM ET / 6 PM GMT, 17 June 2021 (finished)

Recent citations in the news

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

9 Ways Database Technology Gives Your Applications an Edge
26 March 2020, TechNative

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

provided by Google News

ScyllaDB Announces Comprehensive Support for Apache Kafka
20 June 2021, AiThority

ScyllaDB Announces Scylla Enterprise 2021 NoSQL Database
20 May 2021, Illinoisnewstoday.com

ScyllaDB Announces NoSQL SOC2 Certification
13 June 2021, Illinoisnewstoday.com

ScyllaDB Unveils 'Monstrous' New Capabilities for Its NoSQL
12 January 2021, GlobeNewswire

ScyllaDB Announces Scylla Enterprise 2020 NoSQL Database
19 August 2020, GlobeNewswire

provided by Google News

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

What's the secret to database success? The answer may surprise you
21 June 2021, TechRepublic

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

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

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

provided by Google News

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