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DBMS > CockroachDB vs. Ignite vs. QuestDB vs. SiteWhere

System Properties Comparison CockroachDB vs. Ignite vs. QuestDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonIgnite  Xexclude from comparisonQuestDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high performance open source SQL database for time series dataM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.cockroachlabs.comignite.apache.orgquestdb.iogithub.com/­sitewhere/­sitewhere
Technical documentationwww.cockroachlabs.com/­docsapacheignite.readme.io/­docsquestdb.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperCockroach LabsApache Software FoundationQuestDB Technology IncSiteWhere
Initial release2015201520142010
Current release24.1.0, May 2024Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetJava (Zero-GC), C++, RustJava
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemedynamic schemayesyes infoschema-free via InfluxDB Line Protocolpredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLANSI-99 for query and DML statements, subset of DDLSQL with time-series extensionsno
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning (by timestamps)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes (replicated cache)Source-replica replication with eventual consistencyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
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.noyesyes infothrough memory mapped filesno
User concepts infoAccess controlRole-based access controlSecurity Hooks for custom implementationsUsers with fine-grained authorization concept
More information provided by the system vendor
CockroachDBIgniteQuestDBSiteWhere
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
CockroachDBIgniteQuestDBSiteWhere
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