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DBMS > Google Cloud Bigtable vs. Netezza vs. ObjectBox vs. SiriDB vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Netezza vs. ObjectBox vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  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.Data warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Relational DBMSObject oriented DBMSTime Series DBMSDocument store
Secondary database modelsTime Series DBMS
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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­netezzaobjectbox.iosiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.siridb.comwww.xtdb.com/­docs
DeveloperGoogleIBMObjectBox LimitedCesbitJuxt Ltd.
Initial release20152000201720172019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CClojure
Server operating systemshostedLinux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
LinuxAll 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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnonolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
OLE DB
Proprietary native APIHTTP APIHTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnoyesnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationonline/offline synchronization between client and serveryesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization conceptyessimple rights management via user accounts
More information provided by the system vendor
Google Cloud BigtableNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSiriDBXTDB infoformerly named Crux
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15 February 2024

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13 June 2023

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More resources
Google Cloud BigtableNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSiriDBXTDB infoformerly named Crux
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