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DBMS > Apache Druid vs. etcd vs. GeoSpock vs. Quasardb

System Properties Comparison Apache Druid vs. etcd vs. GeoSpock vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonQuasardb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedruid.apache.orgetcd.io
github.com/­etcd-io/­etcd
geospock.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
doc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsGeoSpockquasardb
Initial release20122009
Current release29.0.1, April 20243.4, August 20192.0, September 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, JavascriptC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
Windows infoexperimental
hostedBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binary
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 indexesyesnotemporal, categoricalyes infowith tags
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
JSON over HTTP
JDBCHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnoyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per tableCryptographically strong user authentication and audit trail

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More resources
Apache DruidetcdGeoSpockQuasardb
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