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DBMS > Apache Druid vs. BoltDB vs. DuckDB vs. Manticore Search vs. Spark SQL

System Properties Comparison Apache Druid vs. BoltDB vs. DuckDB vs. Manticore Search vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonDuckDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.An embeddable, in-process, column-oriented SQL OLAP RDBMSMulti-storage database for search, including full-text search.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedruid.apache.orggithub.com/­boltdb/­boltduckdb.orgmanticoresearch.comspark.apache.org/­sql
Technical documentationdruid.apache.org/­docs/­latest/­designduckdb.org/­docsmanual.manticoresearch.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsManticore SoftwareApache Software Foundation
Initial release20122013201820172014
Current release29.0.1, April 20240.10, February 20246.0, February 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen Source infoMIT LicenseOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++Scala
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
server-lessFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesnoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, 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.nononoCan index from XMLno
Secondary indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL for queryingnoyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnononono

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Apache DruidBoltDBDuckDBManticore SearchSpark SQL
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