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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSwayDB  Xexclude from comparisonVitess  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.)An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedruid.apache.orgbangdb.comwww.microsoft.com/­en-us/­microsoft-365/­accessswaydb.simer.auvitess.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comdeveloper.microsoft.com/­en-us/­accessvitess.io/­docs
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBMicrosoftSimer PlahaThe Linux Foundation, PlanetScale
Initial release20122012199220182013
Current release29.0.1, April 2024BangDB 2.0, October 20211902 (16.0.11328.20222), March 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3commercial infoBundled with Microsoft OfficeOpen Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0, commercial licenses available
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++ScalaGo
Server operating systemsLinux
OS X
Unix
LinuxWindows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.nonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolyes infobut not compliant to any SQL standardnoyes infowith proprietary extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
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
Java
Kotlin
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenoyes infoproprietary syntax
Triggersnoyes, Notifications (with Streaming only)yes infosince Access 2010 using the ACE-enginenoyes
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 algorithmnonenoneSharding
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)nonenoneMulti-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 ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingAtomic execution of operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes infotable locks or row locks depending on storage engine
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 modeyesyes
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 2003noUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache DruidBangdbMicrosoft AccessSwayDBVitess
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