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DBMS > Google Search Appliance vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. TimescaleDB

System Properties Comparison Google Search Appliance vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Globally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.00
Rank#65  Overall
#5  Wide column stores
Score1.73
Rank#122  Overall
#8  Time Series DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.timescale.com
Technical documentationsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.timescale.com
DeveloperGoogleMicrosoftMicrosoftTimescale
Initial release2002201420122017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesnumerics, 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 indexesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsAdministrative API
Browser interface
HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJavaScriptnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUser authentication via various security protocolsAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

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More resources
Google Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageTimescaleDB
Recent citations in the news

the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

So Long Google Search Appliance
4 February 2016, Fortune

Elastic Is Looking a Lot Like Google 10 Years Ago
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
27 May 2016, Fortune

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4 November 2019, VentureBeat

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12 November 2019, InfoWorld

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14 January 2019, InfoWorld

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

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10 January 2019, The Register

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8 February 2019, MarTech Advisor

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26 November 2018, Channel 9

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

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

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26 June 2019, TechRepublic

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