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

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

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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 comparisonMarkLogic  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 JavaScriptOperational and transactional Enterprise NoSQL database
Primary database modelKey-value store
Wide column store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­db2google.github.io/­lovefieldwww.marklogic.com
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.marklogic.com
DeveloperGoogleIBMGoogleMarkLogic Corp.
Initial release20151983 infohost version20142001
Current release12.1, October 20162.1.12, February 201711.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoApache 2.0commercial inforestricted free version is available
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, SafariLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyes infoSQL92
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
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infovia XQuery or JavaScript
TriggersnoyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionnoneSharding
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)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes, with Range Indexes
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-standardnoRole-based access control at the document and subdocument levels

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