DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. GigaSpaces vs. GridGain vs. OpenTSDB vs. PouchDB

System Properties Comparison Drizzle vs. GigaSpaces vs. GridGain vs. OpenTSDB vs. PouchDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGridGain is an in-memory computing platform, built on Apache IgniteScalable Time Series DBMS based on HBaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.gigaspaces.comwww.gridgain.comopentsdb.netpouchdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.htmlopentsdb.net/­docs/­build/­html/­index.htmlpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesGridGain Systems, Inc.currently maintained by Yahoo and other contributorsApache Software Foundation
Initial release20082000200720112012
Current release7.2.4, September 201215.5, September 2020GridGain 8.5.17.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoLGPLOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetJava, C++, .NetJavaJavaScript
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsno
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.no infoXML can be used for describing objects metadatayesnono
Secondary indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Telnet API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)noView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architectureyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBaseSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)selectable replication factor infobased on HBaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency infobased on HBaseEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlSecurity Hooks for custom implementationsnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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

More resources
DrizzleGigaSpacesGridGainOpenTSDBPouchDB
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

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

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

GigaSpaces to hand out almost $14 million in dividends following Cloudify’s acquisition by Dell
19 July 2023, CTech

Data Sciences Corporation partners with GigaSpaces Technologies to usher DIH technology to enterprises in SA
11 October 2023, ITWeb

GigaSpaces Announces Version 16.0 with Breakthrough Data Integration Tools to Ease Enterprises' Digital ...
3 November 2021, PR Newswire

The insideBIGDATA IMPACT 50 List for Q1 2024
18 January 2024, insideBIGDATA

GigaSpaces Spins Off Cloudify, Its Open Source Cloud Orchestration Unit
27 July 2017, Data Center Knowledge

provided by Google News

GridGain's 2023 Growth Positions Company for Strong 2024
24 January 2024, PR Newswire

GridGain in-memory data and generative AI – Blocks and Files
10 May 2024, Blocks & Files

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, PR Newswire

GridGain: Product Overview and Analysis
5 June 2019, eWeek

GridGain Releases Conference Schedule for Virtual Apache Ignite Summit 2023
1 June 2023, Datanami

provided by Google News

Pinterest Switches from OpenTSDB to Their Own Time Series Database
16 September 2018, InfoQ.com

Brain Monitoring with Kafka, OpenTSDB, and Grafana
5 August 2016, KDnuggets

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

MapR to help admins peer into dense Hadoop clusters
28 June 2016, SiliconANGLE News

LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting
1 June 2016, The New Stack

provided by Google News

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

3 Reasons To Think Offline First
22 March 2017, ibm.com

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here