DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Cassandra vs. EsgynDB vs. OpenQM vs. QuestDB

System Properties Comparison Apache Cassandra vs. EsgynDB vs. OpenQM vs. QuestDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonEsgynDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionQpenQM is a high-performance, self-tuning, multi-value DBMSA high performance open source SQL database for time series data
Primary database modelWide column storeRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.94
Rank#11  Overall
#1  Wide column stores
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitecassandra.apache.orgwww.esgyn.cnwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquestdb.io
Technical documentationcassandra.apache.org/­doc/­latestquestdb.io/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookEsgynRocket Software, originally Martin PhillipsQuestDB Technology Inc
Initial release2008201519932014
Current release5.0-rc1, July 20243.4-12
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPLv2, extended commercial license availableOpen 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.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaC++, JavaJava (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Windows
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyes infowith some exceptionsyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesnoSQL with time-series extensions
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Basic
C
Java
Objective C
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingyeshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication between multi datacentersyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
Apache CassandraEsgynDBOpenQM infoalso called QMQuestDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
News

How to Create Vector Embeddings in Node.js
25 September 2024

Glean and DataStax Partner to Help Developers Harness Powerful Enterprise Search
23 September 2024

DataStax Named a Leader in The Forrester Wave™: Vector Databases, Q3 2024
23 September 2024

How to Build a Notion Clone with Astra DB and Mongoose
20 September 2024

How to Monitor DataStax-Powered RAG Applications with Fiddler
19 September 2024

Combine Java and Rust Code Coverage in a Polyglot Project
10 September 2024

Weather data visualization and forecasting with QuestDB, Kafka and Grafana
4 September 2024

Building a new vector based storage model
22 August 2024

Calibrating VWAP executions with QuestDB and Grafana
16 August 2024

Write Time: a call for community writers
13 August 2024

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Cassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
» more

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

More resources
Apache CassandraEsgynDBOpenQM infoalso called QMQuestDB
Recent citations in the news

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost
6 September 2024, VentureBeat

Apache Cassandra introduces version 5.0 of open-source NoSQL database
9 September 2024, Techzine Europe

Migrate Cassandra workloads to Amazon Keyspaces using CQLReplicator
4 September 2024, AWS Blog

Cassandra redesigns indexing, storage management for 5.0 release
10 September 2024, The Register

How Uber ensures Apache Cassandra®’s tolerance for single-zone failure
20 June 2024, Uber

provided by Google News

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

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

Neo4j logo

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

Milvus logo

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

Present your product here