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DBMS > InterSystems Caché vs. Oracle Rdb vs. Pinecone vs. QuestDB

System Properties Comparison InterSystems Caché vs. Oracle Rdb vs. Pinecone vs. QuestDB

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPinecone  Xexclude from comparisonQuestDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverA managed, cloud-native vector databaseA high performance open source SQL database for time series data
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.intersystems.com/­products/­cachewww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.pinecone.ioquestdb.io
Technical documentationdocs.intersystems.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.pinecone.io/­docs/­overviewquestdb.io/­docs
DeveloperInterSystemsOracle, originally developed by Digital Equipment Corporation (DEC)Pinecone Systems, IncQuestDB Technology Inc
Initial release1997198420192014
Current release2018.1.4, May 20207.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, Rust
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
HP Open VMShostedLinux
macOS
Windows
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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.yesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesnoSQL with time-series extensions
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PythonC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID 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.yesnonoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles
More information provided by the system vendor
InterSystems CachéOracle RdbPineconeQuestDB
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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