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DBMS > Google Cloud Bigtable vs. Graph Engine vs. Netezza vs. SiriDB vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. Netezza vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  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 engineData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitecloud.google.com/­bigtablewww.graphengine.iowww.ibm.com/­products/­netezzasiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.siridb.comwww.xtdb.com/­docs
DeveloperGoogleMicrosoftIBMCesbitJuxt Ltd.
Initial release20152010200020172019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CCClojure
Server operating systemshosted.NETLinux infoincluded in applianceLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoNumeric datayes, extensible-data-notation format
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
OLE DB
HTTP APIHTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnoyesyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization conceptsimple rights management via user accounts

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityNetezza infoAlso called PureData System for Analytics by IBMSiriDBXTDB infoformerly named Crux
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