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DBMS > Bangdb vs. etcd vs. Ingres vs. YugabyteDB

System Properties Comparison Bangdb vs. etcd vs. Ingres vs. YugabyteDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonetcd  Xexclude from comparisonIngres  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed reliable key-value storeWell established RDBMSHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score7.05
Rank#53  Overall
#5  Key-value stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitebangdb.cometcd.io
github.com/­etcd-io/­etcd
www.actian.com/­databases/­ingreswww.yugabyte.com
Technical documentationdocs.bangdb.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.actian.com/­ingresdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperSachin Sinha, BangDBActian CorporationYugabyte Inc.
Initial release20121974 infooriginally developed at University Berkely in early 1970s2017
Current releaseBangDB 2.0, October 20213.4, August 201912.0, July 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercialOpen 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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC, C++GoCC and C++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes, PostgreSQL compatible
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC
JSON over HTTP
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyesyes infosql, plpgsql, C
Triggersyes, Notifications (with Streaming only)yes, watching key changesyesyes
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 infoIngres Star to access multiple databases simultaneouslyHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Ingres ReplicatorBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoMVCCyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infobased on RocksDB
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 modenonono
User concepts infoAccess controlyes (enterprise version only)nofine grained access rights according to SQL-standardyes
More information provided by the system vendor
BangdbetcdIngresYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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BangdbetcdIngresYugabyteDB
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