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DBMS > Apache Druid vs. SurrealDB

System Properties Comparison Apache Druid vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.18
Rank#84  Overall
#45  Relational DBMS
#7  Time Series DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitedruid.apache.orgsurrealdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designsurrealdb.com/­docs
DeveloperApache Software Foundation and contributorsSurrealDB Ltd
Initial release20122022
Current release30.0.0, June 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes
SQL infoSupport of SQLSQL for queryingSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rules

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More resources
Apache DruidSurrealDB
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