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DBMS > Amazon Redshift vs. Apache Impala vs. Google BigQuery vs. Infobright vs. OpenTSDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Google BigQuery vs. Infobright vs. OpenTSDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInfobright  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopLarge scale data warehouse service with append-only tablesHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orgcloud.google.com/­bigqueryignitetech.com/­softwarelibrary/­infobrightdbopentsdb.net
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigquery/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleIgnite Technologies Inc.; formerly InfoBright Inc.currently maintained by Yahoo and other contributors
Initial release20122013201020052011
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++CJava
Server operating systemshostedLinuxhostedLinux
Windows
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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.nonononono
Secondary indexesrestrictedyesnono infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyesyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
HTTP API
Telnet API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceuser defined functions infoin JavaScriptnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
Amazon RedshiftApache ImpalaGoogle BigQueryInfobrightOpenTSDB
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