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DBMS > Amazon Redshift vs. BigchainDB vs. Google BigQuery vs. Netezza vs. TimesTen

System Properties Comparison Amazon Redshift vs. BigchainDB vs. Google BigQuery vs. Netezza vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsLarge scale data warehouse service with append-only tablesData warehouse and analytics appliance part of IBM PureSystemsIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.bigchaindb.comcloud.google.com/­bigquerywww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­redshiftbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigquery/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazon (based on PostgreSQL)GoogleIBMOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122016201020001998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPython
Server operating systemshostedLinuxhostedLinux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesyesyes
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptyesPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftBigchainDBGoogle BigQueryNetezza infoAlso called PureData System for Analytics by IBMTimesTen
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