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DBMS > Google Cloud Bigtable vs. GridGain vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. PouchDB

System Properties Comparison Google Cloud Bigtable vs. GridGain vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. PouchDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPouchDB  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.GridGain is an in-memory computing platform, built on Apache IgniteOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Wide column store
Key-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitecloud.google.com/­bigtablewww.gridgain.comwww.marklogic.comazure.microsoft.com/­services/­synapse-analyticspouchdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmldocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticspouchdb.com/­guides
DeveloperGoogleGridGain Systems, Inc.MarkLogic Corp.MicrosoftApache Software Foundation
Initial release20152007200120162012
Current releaseGridGain 8.5.111.0, December 20227.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.noyesyesnono
Secondary indexesnoyesyesyesyes infovia views
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoSQL92yesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScriptTransact SQLView functions in JavaScript
Triggersnoyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)yesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsRole-based access control at the document and subdocument levelsyesno

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More resources
Google Cloud BigtableGridGainMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePouchDB
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