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DBMS > Bangdb vs. Ehcache vs. TypeDB vs. Vitess

System Properties Comparison Bangdb vs. Ehcache vs. TypeDB vs. Vitess

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitebangdb.comwww.ehcache.orgtypedb.comvitess.io
Technical documentationdocs.bangdb.comwww.ehcache.org/­documentationtypedb.com/­docsvitess.io/­docs
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGVaticleThe Linux Foundation, PlanetScale
Initial release2012200920162013
Current releaseBangDB 2.0, October 20213.10.0, March 20222.26.3, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 3, commercial licenses availableOpen 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

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Implementation languageC, C++JavaJavaGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes infowith proprietary extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCachegRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Java
Python
JavaAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
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 proceduresnononoyes infoproprietary syntax
Triggersyes, Notifications (with Streaming only)yes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoby using Terracotta ServerSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta ServerMulti-source replication infoby using CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)noyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BangdbEhcacheTypeDB infoformerly named GraknVitess
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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BangdbEhcacheTypeDB infoformerly named GraknVitess
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