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DBMS > Apache Impala vs. Google BigQuery vs. Greenplum vs. MySQL vs. QuestDB

System Properties Comparison Apache Impala vs. Google BigQuery vs. Greenplum vs. MySQL vs. QuestDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonMySQL  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopLarge 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.Widely used open source RDBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgcloud.google.com/­bigquerygreenplum.orgwww.mysql.comquestdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigquery/­docsdocs.greenplum.orgdev.mysql.com/­docquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGooglePivotal Software Inc.Oracle infosince 2010, originally MySQL AB, then SunQuestDB Technology Inc
Initial release20132010200519952014
Current release4.1.0, June 20227.0.0, September 20238.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxhostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infosince Version 4.2yesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin JavaScriptyesyes infoproprietary syntaxno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID infonot for MyISAM storage engineACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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 infothrough memory mapped files
User concepts infoAccess controlAccess 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-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache ImpalaGoogle BigQueryGreenplumMySQLQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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