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DBMS > Google Cloud Bigtable vs. Memcached vs. Netezza vs. SiriDB vs. ToroDB

System Properties Comparison Google Cloud Bigtable vs. Memcached vs. Netezza vs. SiriDB vs. ToroDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for cachingData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Wide column store
Key-value storeRelational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitecloud.google.com/­bigtablewww.memcached.orgwww.ibm.com/­products/­netezzasiridb.comgithub.com/­torodb/­server
Technical documentationcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wikidocs.siridb.com
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalIBMCesbit8Kdata
Initial release20152003200020172016
Current release1.6.29, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialOpen Source infoMIT LicenseOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJava
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux infoincluded in applianceLinuxAll OS with a Java 7 VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyes infoNumeric datayes infostring, integer, double, boolean, date, object_id
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 indexesnonoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolJDBC
ODBC
OLE DB
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization conceptsimple rights management via user accountsAccess rights for users and roles

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More resources
Google Cloud BigtableMemcachedNetezza infoAlso called PureData System for Analytics by IBMSiriDBToroDB
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