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DBMS > Apache Drill vs. Apache Druid vs. Oracle Rdb vs. Tarantool

System Properties Comparison Apache Drill vs. Apache Druid vs. Oracle Rdb vs. Tarantool

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitedrill.apache.orgdruid.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.tarantool.io
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.tarantool.io/­en/­doc
DeveloperApache Software FoundationApache Software Foundation and contributorsOracle, originally developed by Digital Equipment Corporation (DEC)VK
Initial release2012201219842008
Current release1.20.3, January 202329.0.1, April 20247.4.1.1, 20212.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2commercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
HP Open VMSBSD
Linux
macOS
Data schemeschema-freeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)Flexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingyesFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
Open binary protocol
Supported programming languagesC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnoLua, C and SQL stored procedures
Triggersnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Apache DrillApache DruidOracle RdbTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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