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DBMS > Google BigQuery vs. Greenplum vs. InfinityDB vs. ITTIA vs. NuoDB

System Properties Comparison Google BigQuery vs. Greenplum vs. InfinityDB vs. ITTIA vs. NuoDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonInfinityDB  Xexclude from comparisonITTIA  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Java embedded Key-Value Store which extends the Java Map interfaceEdge Time Series DBMS with Real-Time Stream ProcessingNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score0.87
Rank#201  Overall
#94  Relational DBMS
Websitecloud.google.com/­bigquerygreenplum.orgboilerbay.comwww.ittia.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationcloud.google.com/­bigquery/­docsdocs.greenplum.orgboilerbay.com/­infinitydb/­manualdoc.nuodb.com
DeveloperGooglePivotal Software Inc.Boiler Bay Inc.ITTIA L.L.C.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20102005200220072013
Current release7.0.0, September 20234.08.7
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial infolimited edition free
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 languageJavaC and C++C++
Server operating systemshostedLinuxAll OS with a Java VMLinux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.noyes infosince Version 4.2nonono
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLyesyesnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
JavaC
C++
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnoyesJava, SQL
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynoyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsyesACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes infoTemporary table
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardnoDatabase file passwordsStandard SQL roles/ privileges, Administrative Users

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More resources
Google BigQueryGreenplumInfinityDBITTIANuoDB
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