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DBMS > Apache Impala vs. Greenplum vs. Microsoft Azure Cosmos DB vs. MySQL vs. QuestDB

System Properties Comparison Apache Impala vs. Greenplum vs. Microsoft Azure Cosmos DB vs. MySQL vs. QuestDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic 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.Globally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Spatial DBMSDocument 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteimpala.apache.orggreenplum.orgazure.microsoft.com/­services/­cosmos-dbwww.mysql.comquestdb.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greenplum.orglearn.microsoft.com/­azure/­cosmos-dbdev.mysql.com/­docquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPivotal Software Inc.MicrosoftOracle infosince 2010, originally MySQL AB, then SunQuestDB Technology Inc
Initial release20132005201419952014
Current release4.1.0, June 20227.0.0, September 20238.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++C and C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesyes
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 4.2yesno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Perl
Python
R
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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-reduceyesJavaScriptyes infoproprietary syntaxno
TriggersnoyesJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-item ACID transactions with snapshot isolation within a partitionACID 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.nonoyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache ImpalaGreenplumMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMySQLQuestDB
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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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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