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DBMS > Apache Impala vs. EsgynDB vs. MonetDB vs. NuoDB vs. Titan

System Properties Comparison Apache Impala vs. EsgynDB vs. MonetDB vs. NuoDB vs. Titan

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonMonetDB  Xexclude from comparisonNuoDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA relational database management system that stores data in columnsNuoDB is a webscale distributed database that supports SQL and ACID transactionsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Websiteimpala.apache.orgwww.esgyn.cnwww.monetdb.orgwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­thinkaurelius/­titan
Technical documentationimpala.apache.org/­impala-docs.htmlwww.monetdb.org/­Documentationdoc.nuodb.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynMonetDB BVDassault Systèmes infooriginally NuoDB, Inc.Aurelius, owned by DataStax
Initial release20132015200420132012
Current release4.1.0, June 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0commercial infolimited edition freeOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaCC++Java
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Unix
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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL 2003 with some extensionsyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyes, in SQL, C, RJava, SQLyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesdata is dynamically stored/cached on the nodes where it is read/writtenyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersnone infoSource-replica replication available in experimental statusyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes 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-standardStandard SQL roles/ privileges, Administrative UsersUser authentification and security via Rexster Graph Server

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More resources
Apache ImpalaEsgynDBMonetDBNuoDBTitan
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