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DBMS > Google Cloud Bigtable vs. Graph Engine vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Splunk

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Splunk

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplunk  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAnalytics Platform for Big Data
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSRelational DBMSSearch engine
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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­bigtablewww.graphengine.iowww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticswww.splunk.com
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsdocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleMicrosoftActian CorporationMicrosoftSplunk Inc.
Initial release201520101974 infooriginally developed at University Berkely in early 1970s20162003
Current release11.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial infoLimited free edition and free developer edition available
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 language.NET and CCC++
Server operating systemshosted.NETAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C#
Java
PHP
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesTransact SQLyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesIngres ReplicatoryesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno 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 operationsnoACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
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-standardyesAccess rights for users and roles

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplunk
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