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DBMS > GridDB vs. Impala vs. Redis

System Properties Comparison GridDB vs. Impala vs. Redis

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonImpala  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAnalytic DBMS for 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 modelTime Series DBMSRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsKey-value store
Relational DBMS
Document storeDocument 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
Score0.75
Rank#192  Overall
#10  Time Series DBMS
Score15.15
Rank#37  Overall
#22  Relational DBMS
Score151.86
Rank#7  Overall
#1  Key-value stores
Websitegriddb.netwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlredis.io
Technical documentationdocs.griddb.netdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlredis.io/­documentation
DeveloperToshiba CorporationClouderaSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201320132009
Current release4.5, June 20203.3.0, August 20196.0.8, September 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 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

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ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++C++C
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyespartial 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.nonono
Secondary indexesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocolJDBC
ODBC
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC
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 proceduresnoyes infouser defined functions and integration of map-reduceLua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoOptimistic 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.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
GridDBImpalaRedis
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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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
GridDBImpalaRedis
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