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DBMS > Apache Druid vs. Bangdb vs. Microsoft Access vs. NuoDB vs. SwayDB

System Properties Comparison Apache Druid vs. Bangdb vs. Microsoft Access vs. NuoDB vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNuoDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataConverged and high performance database for device data, events, time series, document and graphMicrosoft 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.)NuoDB is a webscale distributed database that supports SQL and ACID transactionsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedruid.apache.orgbangdb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.3ds.com/­nuodb-distributed-sql-databaseswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comdeveloper.microsoft.com/­en-us/­accessdoc.nuodb.com
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBMicrosoftDassault Systèmes infooriginally NuoDB, Inc.Simer Plaha
Initial release20122012199220132018
Current release29.0.1, April 2024BangDB 2.0, October 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3commercial infoBundled with Microsoft Officecommercial infolimited edition freeOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++Scala
Server operating systemsLinux
OS X
Unix
LinuxWindows infoNot a real database server, but making use of DLLshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesno
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolyes infobut not compliant to any SQL standardyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineJava, SQLno
Triggersnoyes, Notifications (with Streaming only)yes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonedata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor, Knob for CAP (enterprise version only)noneyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACID infotunable commit protocolAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes infoTemporary tableyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes (enterprise version only)no infoa simple user-level security was built in till version Access 2003Standard SQL roles/ privileges, Administrative Usersno

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More resources
Apache DruidBangdbMicrosoft AccessNuoDBSwayDB
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