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DBMS > GridGain vs. Hive vs. Redis

System Properties Comparison GridGain vs. Hive vs. Redis

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHive  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#124  Overall
#22  Key-value stores
#60  Relational DBMS
Score83.53
Rank#14  Overall
#9  Relational DBMS
Score151.42
Rank#8  Overall
#1  Key-value stores
Websitewww.gridgain.comhive.apache.orgredis.io
Technical documentationwww.gridgain.com/­docs/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homeredis.io/­documentation
DeveloperGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release200720122009
Current releaseGridGain 8.5.13.1.2, August 20195.0.7, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD 3-Clause, commercial license available
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.
Implementation languageJava, C++, .NetJavaC
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.yesno
Secondary indexesyesyesyes infowith RediSearch module
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduceLua
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factorMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesSimple password-based access control infoAccess control lists and SSL are available in the commercial version

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More resources
GridGainHiveRedis
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Recent citations in the news

GridGain Systems Named to Inaugural Inc. 5000 Series: California’s Fastest-Growing Private Companies
25 February 2020, Yahoo Finance

Adoption of Digital Integration Hub Architectures Built on the GridGain In-Memory Computing Platform Growing Rapidly
30 January 2020, Yahoo Finance

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain Experts Explain In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Industry Events
10 September 2019, GlobeNewswire

In-Memory Data Grid Market: 2020 Insights, Status, Latest Amendments and Outlook-2026 | Top Players are- Oracle, Gridgain Systems, Scale Out Software, IBM
26 February 2020, News Times

provided by Google News

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6 February 2020, TechRepublic

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Cloud Database and DBaaS Market Expected to Grow at 24.8 Billion
28 February 2020, openPR

5 ways to write Laravel code that scales (sponsor)
24 February 2020, Laravel News

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20 August 2019, TechCrunch

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