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DBMS > Apache Impala vs. Brytlyt vs. EsgynDB vs. Ingres vs. NuoDB

System Properties Comparison Apache Impala vs. Brytlyt vs. EsgynDB vs. Ingres vs. NuoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBrytlyt  Xexclude from comparisonEsgynDB  Xexclude from comparisonIngres  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWell established RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteimpala.apache.orgbrytlyt.iowww.esgyn.cnwww.actian.com/­databases/­ingreswww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmldocs.brytlyt.iodocs.actian.com/­ingresdoc.nuodb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlytEsgynActian CorporationDassault Systèmes infooriginally NuoDB, Inc.
Initial release2013201620151974 infooriginally developed at University Berkely in early 1970s2013
Current release4.1.0, June 20225.0, August 202311.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++ and CUDAC++, JavaCC++
Server operating systemsLinuxLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQLJava Stored ProceduresyesJava, SQL
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslydata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication between multi datacentersIngres Replicatoryes infoManaged transparently by NuoDB
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 integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes infoMVCC
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.nononoyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
Apache ImpalaBrytlytEsgynDBIngresNuoDB
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