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DBMS > Google Search Appliance vs. Redis vs. TerarkDB

System Properties Comparison Google Search Appliance vs. Redis vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonRedis  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.In-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.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engineKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store
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
Score2.86
Rank#86  Overall
#9  Search engines
Score142.91
Rank#8  Overall
#1  Key-value stores
Score0.08
Rank#301  Overall
#51  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlredis.iogithub.com/­Terark/­terarkdb
Technical documentationsupport.google.com/­gsaredis.io/­documentationgithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsTerark
Initial release200220092016
Current release5.0.5, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3-Clause, commercial license availablecommercial inforestricted open source version 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 languageCC++
Server operating systemsBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 indexesyes infowith RediSearch moduleno
SQL infoSupport of SQLnonono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
proprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Java API
Supported programming languagesC
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
C++
Java
Server-side scripts infoStored proceduresLuano
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemStrong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUser authentication via various security protocolsSimple password-based access control infoAccess control lists and SSL are available in the commercial versionno
More information provided by the system vendor
Google Search ApplianceRedisTerarkDB
Specific characteristicsRedis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesRedis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosRedis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Licensing and pricing modelsThe licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

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
3rd partiesScaleGrid: Fully managed Redis-as-a-Service in the cloud.
» more

Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Google Search ApplianceRedisTerarkDB
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Recent citations in the news

So Long Google Search Appliance
4 February 2016, Fortune

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10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance May Be Gone, But Category Lives On
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Top coding salaries unveiled for 2019 and US developers making 5% more than last year
16 October 2019, TechRepublic

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16 October 2019, Ars Technica

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A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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