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DBMS > Bangdb vs. Cloudflare Workers KV vs. EsgynDB vs. Google Cloud Bigtable vs. HBase

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. EsgynDB vs. Google Cloud Bigtable vs. HBase

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMSKey-value store
Wide column store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvwww.esgyn.cncloud.google.com/­bigtablehbase.apache.org
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docshbase.apache.org/­book.html
DeveloperSachin Sinha, BangDBCloudflareEsgynGoogleApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20122018201520152008
Current releaseBangDB 2.0, October 20212.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++, JavaJava
Server operating systemsLinuxhostedLinuxhostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeschema-freeyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesnooptions to bring your own types, AVRO
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesnono
SQL infoSupport of SQLSQL like support with command line toolnoyesnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnoyes infoCoprocessors in Java
Triggersyes, Notifications (with Streaming only)nononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic single-row operationsSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenononoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
BangdbCloudflare Workers KVEsgynDBGoogle Cloud BigtableHBase
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