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DBMS > Apache Druid vs. Greenplum vs. Hypertable vs. Immudb vs. LeanXcale

System Properties Comparison Apache Druid vs. Greenplum vs. Hypertable vs. Immudb vs. LeanXcale

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonHypertable  Xexclude from comparisonImmudb  Xexclude from comparisonLeanXcale  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source BigTable implementation based on distributed file systems such as HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSWide column storeKey-value storeKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
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
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitedruid.apache.orggreenplum.orggithub.com/­codenotary/­immudb
immudb.io
www.leanxcale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.immudb.io
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Hypertable Inc.CodenotaryLeanXcale
Initial release20122005200920202015
Current release29.0.1, April 20247.0.0, September 20230.9.8.11, March 20161.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesno
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 infosince Version 4.2no
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL for queryingyesnoSQL-like syntaxyes infothrough Apache Derby
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
C++ API
Thrift
gRPC protocol
PostgreSQL wire protocol
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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
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-standardno

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More resources
Apache DruidGreenplumHypertableImmudbLeanXcale
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