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DBMS > Apache Impala vs. H2GIS vs. Vitess

System Properties Comparison Apache Impala vs. H2GIS vs. Vitess

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websiteimpala.apache.orgwww.h2gis.orgvitess.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homevitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSThe Linux Foundation, PlanetScale
Initial release201320132013
Current release4.1.0, June 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemsLinuxDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2yes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2Users with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaH2GISVitess
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Apache Impala 4 Supports Operator Multi-Threading
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Apache Impala becomes Top-Level Project
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Cloudera Bringing Impala to AWS Cloud
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Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

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5 November 2019, SiliconANGLE News

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18 May 2021, Datanami

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18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

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13 December 2018, TechCrunch

provided by Google News



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