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DBMS > Apache Druid vs. EsgynDB vs. Geode vs. LevelDB

System Properties Comparison Apache Druid vs. EsgynDB vs. Geode vs. LevelDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitedruid.apache.orgwww.esgyn.cngeode.apache.orggithub.com/­google/­leveldb
Technical documentationdruid.apache.org/­docs/­latest/­designgeode.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation and contributorsEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release2012201520022011
Current release30.0.0, June 20241.1, February 20171.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaC++
Server operating systemsLinux
OS X
Unix
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredIllumos
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (OQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsno
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication between multi datacentersMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess rights per client and object definableno

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More resources
Apache DruidEsgynDBGeodeLevelDB
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