DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Bangdb vs. Cubrid vs. Ingres vs. RavenDB vs. VictoriaMetrics

System Properties Comparison Bangdb vs. Cubrid vs. Ingres vs. RavenDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCubrid  Xexclude from comparisonIngres  Xexclude from comparisonRavenDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPWell established RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series 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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitebangdb.comcubrid.com (korean)
cubrid.org (english)
www.actian.com/­databases/­ingresravendb.netvictoriametrics.com
Technical documentationdocs.bangdb.comcubrid.org/­manualsdocs.actian.com/­ingresravendb.net/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSachin Sinha, BangDBCUBRID Corporation, CUBRID FoundationActian CorporationHibernating RhinosVictoriaMetrics
Initial release201220081974 infooriginally developed at University Berkely in early 1970s20102018
Current releaseBangDB 2.0, October 202111.0, January 202111.2, May 20225.4, July 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C, C++, JavaCC#Go
Server operating systemsLinuxLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyesSQL-like query language (RQL)no
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyesno
Triggersyes, Notifications (with Streaming only)yesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationIngres ReplicatorMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoMVCCyesyes
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 modenonono
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAuthorization levels configured per client per database

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BangdbCubridIngresRavenDBVictoriaMetrics
Recent citations in the news

NHN Willing to Be More Open
24 November 2008, 코리아타임스

provided by Google News

Ingres CEO Burkhardt will bring open source perspective to Cloud Panel
10 May 2024, Database Journal

Postgres pioneer Michael Stonebraker promises to upend the database once more
26 December 2023, The Register

New startup from Postgres creator puts the database at heart of software stack
12 March 2024, TechCrunch

Actian Launches Ingres as a Fully-Managed Cloud Service
24 September 2021, Integration Developers

PostgreSQL now top developer choice ahead of MySQL, according to massive new survey • DEVCLASS
13 June 2023, DevClass

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and ...
13 June 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Adds Graph Queries
15 May 2019, Datanami

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

provided by Google News

VictoriaMetrics Slashes Data Storage Bills by 90% With World's Most Cost-Efficient Monitoring
30 May 2024, Business Wire

OpenTelemetry Is Too Complicated, VictoriaMetrics Says
1 April 2024, Datanami

KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus
20 March 2024, The New Stack

Green coding - VictoriaMetrics: The efficiency vs complexity trade-off
15 May 2024, ComputerWeekly.com

How VictoriaMetrics' open source approach led to mass industry adoption
3 May 2024, Tech.eu

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here