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DBMS > Apache Druid vs. atoti vs. Brytlyt vs. StarRocks vs. VoltDB

System Properties Comparison Apache Druid vs. atoti vs. Brytlyt vs. StarRocks vs. VoltDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonStarRocks  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSRelational DBMSRelational DBMSRelational 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitedruid.apache.orgatoti.iobrytlyt.iowww.starrocks.iowww.voltdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iodocs.brytlyt.iodocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.voltdb.com
DeveloperApache Software Foundation and contributorsActiveViamBrytlytThe Linux Foundation infosince Feb 2023VoltDB Inc.
Initial release2012201620202010
Current release29.0.1, April 20245.0, August 20232.5.3, March 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJavaJavaC, C++ and CUDAC++, JavaJava, C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
LinuxLinux
OS X infofor development
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)yesyesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
MySQL protocol
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoPythonuser defined functions infoin PL/pgSQLuser defined functionsJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioninghorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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-standardRole based access control and fine grained access rightsUsers and roles with access to stored procedures

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More resources
Apache DruidatotiBrytlytStarRocksVoltDB
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