DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Altibase vs. Bangdb vs. SpaceTime vs. Vitess

System Properties Comparison Altibase vs. Bangdb vs. SpaceTime vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBangdb  Xexclude from comparisonSpaceTime  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSConverged and high performance database for device data, events, time series, document and graphSpaceTime is a spatio-temporal DBMS with a focus on performance.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitealtibase.combangdb.comwww.mireo.com/­spacetimevitess.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.bangdb.comvitess.io/­docs
DeveloperAltibaseSachin Sinha, BangDBMireoThe Linux Foundation, PlanetScale
Initial release1999201220202013
Current releasev7.3, 2023, August 2023BangDB 2.0, October 202115.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoBSD 3commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++Go
Server operating systemsAIX
HP-UX
Linux
LinuxLinuxDocker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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, geospatialnoyes
SQL infoSupport of SQLANSI SQL-92SQL like support with command line toolA subset of ANSI SQL is implementedyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
C
C#
C++
Java
Python
C#
C++
Python
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 proceduresstored procedures and stored functionsnonoyes infoproprietary syntax
Triggersyesyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Real-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)yesUsers with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AltibaseBangdbSpaceTimeVitess
Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

In-memory OLAP Database Market Is Booming (CAGR of 24.95%) Worldwide | Terracotta, Altibase, Kognitio, Mcobject ...
26 October 2018, openPR

South Korean company to provide database solution to Mobicom
10 April 2020, UB Post

In-Memory Database Market Size, Share, Trends and Forecast Analysis by Kognitio Ltd., Datastax, VoltDB, ENEA ...
27 July 2018, openPR

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

PlanetScale Serves up Vitess-Powered Serverless MySQL
23 November 2021, The New Stack

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here