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DBMS > Apache Druid vs. Microsoft Access vs. Solr vs. SwayDB vs. VoltDB

System Properties Comparison Apache Druid vs. Microsoft Access vs. Solr vs. SwayDB vs. VoltDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparisonSwayDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A widely used distributed, scalable search engine based on Apache LuceneAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageDistributed 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
Relational DBMSSearch engineKey-value storeRelational DBMS
Secondary database modelsSpatial 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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitedruid.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.orgswaydb.simer.auwww.voltdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.htmldocs.voltdb.com
DeveloperApache Software Foundation and contributorsMicrosoftApache Software FoundationSimer PlahaVoltDB Inc.
Initial release20121992200620182010
Current release29.0.1, April 20241902 (16.0.11328.20222), March 20199.6.1, May 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0Open 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

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Implementation languageJavaC++JavaScalaJava, C++
Server operating systemsLinux
OS X
Unix
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X infofor development
Data schemeyes infoschema-less columns are supportedyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingnoyes
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.noyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL for queryingyes infobut not compliant to any SQL standardSolr Parallel SQL Interfacenoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJava pluginsnoJava
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingoptimistic lockingAtomic execution of operationsACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoa simple user-level security was built in till version Access 2003yesnoUsers and roles with access to stored procedures

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More resources
Apache DruidMicrosoft AccessSolrSwayDBVoltDB
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