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DBMS > Bangdb vs. Ehcache vs. QuestDB vs. TypeDB

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonQuestDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsA high performance open source SQL database for time series dataTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMSRelational 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
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitebangdb.comwww.ehcache.orgquestdb.iotypedb.com
Technical documentationdocs.bangdb.comwww.ehcache.org/­documentationquestdb.io/­docstypedb.com/­docs
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGQuestDB Technology IncVaticle
Initial release2012200920142016
Current releaseBangDB 2.0, October 20213.10.0, March 20222.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL Version 3, 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++JavaJava (Zero-GC), C++, RustJava
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL with time-series extensionsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCacheHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C#
C++
Java
Python
JavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononono
Triggersyes, Notifications (with Streaming only)yes infoCache Event Listenersnono
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 Serverhorizontal partitioning (by timestamps)Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta ServerSource-replica replication with eventual consistencyMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 modeyesyes infothrough memory mapped filesno
User concepts infoAccess controlyes (enterprise version only)noyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BangdbEhcacheQuestDBTypeDB infoformerly named Grakn
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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