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DBMS > Bangdb vs. CockroachDB vs. EsgynDB vs. QuestDB

System Properties Comparison Bangdb vs. CockroachDB vs. EsgynDB vs. QuestDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCockroachDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance open source SQL database for time series data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
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
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitebangdb.comwww.cockroachlabs.comwww.esgyn.cnquestdb.io
Technical documentationdocs.bangdb.comwww.cockroachlabs.com/­docsquestdb.io/­docs
DeveloperSachin Sinha, BangDBCockroach LabsEsgynQuestDB Technology Inc
Initial release2012201520152014
Current releaseBangDB 2.0, October 202124.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache 2.0
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++GoC++, JavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
macOS
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freedynamic schemayesyes infoschema-free via InfluxDB Line Protocol
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, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolyes, wire compatible with PostgreSQLyesSQL with time-series extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC/ADO.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication using RAFTMulti-source replication between multi datacentersSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenonoyes infothrough memory mapped files
User concepts infoAccess controlyes (enterprise version only)Role-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbCockroachDBEsgynDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» 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
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More resources
BangdbCockroachDBEsgynDBQuestDB
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