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DBMS > Apache Druid vs. BoltDB vs. InfluxDB vs. ScyllaDB

System Properties Comparison Apache Druid vs. BoltDB vs. InfluxDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonScyllaDB  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.DBMS for storing time series, events and metricsCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMSWide column store
Secondary database modelsSpatial DBMS infowith GEO packageKey-value store
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
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitedruid.apache.orggithub.com/­boltdb/­boltwww.influxdata.com/­products/­influxdb-overviewwww.scylladb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.influxdata.com/­influxdbdocs.scylladb.com
DeveloperApache Software Foundation and contributorsScyllaDB
Initial release2012201320132015
Current release29.0.1, April 20242.7.6, April 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaGoGoC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data and Stringsyes
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 indexesyesnonoyes infocluster global secondary indices
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
JSON over UDP
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnononoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneselectable replication factor infoin enterprise version onlyselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage engineyes infoin-memory tables
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnosimple rights management via user accountsAccess rights for users can be defined per object
More information provided by the system vendor
Apache DruidBoltDBInfluxDBScyllaDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
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