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DBMS > Apache Druid vs. Apache Impala vs. EsgynDB vs. Hypertable vs. JSqlDb

System Properties Comparison Apache Druid vs. Apache Impala vs. EsgynDB vs. Hypertable vs. JSqlDb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonJSqlDb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSWide column storeDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Websitedruid.apache.orgimpala.apache.orgwww.esgyn.cnjsqldb.org (offline)
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.html
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynHypertable Inc.Konrad von Backstrom
Initial release20122013201520092018
Current release29.0.1, April 20244.1.0, June 20220.9.8.11, March 20160.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2commercialOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaC++
Server operating systemsLinux
OS X
Unix
LinuxLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nononono
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
C++ API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJava Stored Proceduresnofunctions in JavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorMulti-source replication between multi datacentersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
Apache DruidApache ImpalaEsgynDBHypertableJSqlDb
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