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DBMS > Apache Druid vs. Quasardb vs. Tarantool vs. Warp 10

System Properties Comparison Apache Druid vs. Quasardb vs. Tarantool vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonTarantool  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgquasar.aiwww.tarantool.iowww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterwww.tarantool.io/­en/­docwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsquasardbVKSenX
Initial release2012200920082015
Current release29.0.1, April 20243.14.1, January 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++Java
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
BSD
Linux
macOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binarystring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesyesyes infowith tagsyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languageFull-featured ANSI SQL supportno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIOpen binary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoLua, C and SQL stored proceduresyes infoWarpScript
Triggersnonoyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidQuasardbTarantoolWarp 10
DB-Engines blog posts

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

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