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DBMS > Apache Impala vs. Brytlyt vs. Sequoiadb vs. Tibero vs. Vitess

System Properties Comparison Apache Impala vs. Brytlyt vs. Sequoiadb vs. Tibero vs. Vitess

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBrytlyt  Xexclude from comparisonSequoiadb  Xexclude from comparisonTibero  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLNewSQL database with distributed OLTP and SQLA secure RDBMS, designed for easy portability from OracleScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteimpala.apache.orgbrytlyt.iowww.sequoiadb.comus.tmaxsoft.com/­products/­tiberovitess.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.brytlyt.iowww.sequoiadb.com/­en/­index.php?m=Files&a=indextechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlytSequoiadb Ltd.TmaxSoftThe Linux Foundation, PlanetScale
Initial release20132016201320032013
Current release4.1.0, June 20225.0, August 20236, April 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoServer: AGPL; Client: Apache V2commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++ and CUDAC++C and AssemblerGo
Server operating systemsLinuxLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesyes
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 infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Ada
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-reduceuser defined functions infoin PL/pgSQLJavaScriptPersistent Stored Procedure (PSM)yes infoproprietary syntax
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoby range, hash, list or compositeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nonono infoplanned for next versionyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardsimple password-based access controlfine grained access rights according to SQL-standard (SQL 92, SQL 99)Users with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaBrytlytSequoiadbTiberoVitess
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