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DBMS > Apache Druid vs. InterSystems Caché vs. Oracle Rdb vs. QuestDB vs. Vertica

System Properties Comparison Apache Druid vs. InterSystems Caché vs. Oracle Rdb vs. QuestDB vs. Vertica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQuestDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA multi-model DBMS and application serverA high performance open source SQL database for time series dataCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitedruid.apache.orgwww.intersystems.com/­products/­cachewww.oracle.com/­database/­technologies/­related/­rdb.htmlquestdb.iowww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.intersystems.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlquestdb.io/­docsvertica.com/­documentation
DeveloperApache Software Foundation and contributorsInterSystemsOracle, originally developed by Digital Equipment Corporation (DEC)QuestDB Technology IncOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20121997198420142005
Current release29.0.1, April 20242018.1.4, May 20207.4.1.1, 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
HP Open VMSLinux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supporteddepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line ProtocolYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingyesyesSQL with time-series extensionsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioning (by timestamps)horizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication with eventual consistencyMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infothrough memory mapped filesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache DruidInterSystems CachéOracle RdbQuestDBVertica infoOpenText™ Vertica™
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Cost-based models and subscription-based models are both available. One license is...
» more
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