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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMonetDB  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 Java embedded Key-Value Store which extends the Java Map interfaceA relational database management system that stores data in columnsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSGraph 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteimpala.apache.orgwww.esgyn.cnboilerbay.comwww.monetdb.orggithub.com/­thinkaurelius/­titan
Technical documentationimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualwww.monetdb.org/­Documentationgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynBoiler Bay Inc.MonetDB BVAurelius, owned by DataStax
Initial release20132015200220042012
Current release4.1.0, June 20224.0Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoMozilla Public License 2.0Open 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++, JavaJavaCJava
Server operating systemsLinuxLinuxAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetJavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresnoyes, in SQL, C, Ryes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding via remote tablesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersnonenone infoSource-replica replication available in experimental statusyes
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 Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
Apache ImpalaEsgynDBInfinityDBMonetDBTitan
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