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DBMS > IBM Cloudant vs. QuestDB vs. Spark SQL vs. YugabyteDB

System Properties Comparison IBM Cloudant vs. QuestDB vs. Spark SQL vs. YugabyteDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.ibm.com/­products/­cloudantquestdb.iospark.apache.org/­sqlwww.yugabyte.com
Technical documentationcloud.ibm.com/­docs/­Cloudantquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014QuestDB Technology IncApache Software FoundationYugabyte Inc.
Initial release2010201420142017
Current release3.5.0 ( 2.13), September 20232.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageErlangJava (Zero-GC), C++, RustScalaC and C++
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesdepending on used data model
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL with time-series extensionsSQL-like DML and DDL statementsyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
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#
Java
JavaScript
Objective-C
PHP
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnonoyes infosql, plpgsql, C
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)yes, utilizing Spark CoreHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID for single-table writesnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesnono
User concepts infoAccess controlAccess rights for users can be defined per databasenoyes
More information provided by the system vendor
IBM CloudantQuestDBSpark SQLYugabyteDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Apache 2.0 license for the database
» more
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More resources
IBM CloudantQuestDBSpark SQLYugabyteDB
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