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DBMS > Google Cloud Bigtable vs. IBM Db2 vs. Lovefield vs. Memcached

System Properties Comparison Google Cloud Bigtable vs. IBM Db2 vs. Lovefield vs. Memcached

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Common in IBM host environments, 2 different versions for host and Windows/LinuxEmbeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for caching
Primary database modelKey-value store
Wide column store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSKey-value store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­db2google.github.io/­lovefieldwww.memcached.org
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wiki
DeveloperGoogleIBMGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20151983 infohost version20142003
Current release12.1, October 20162.1.12, February 20171.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoApache 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptC
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux Versionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infowith separate tools (MQ, InfoSphere)nonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Google Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2LovefieldMemcached
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