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DBMS > Apache Druid vs. Axibase vs. Firebolt vs. Google Cloud Datastore

System Properties Comparison Apache Druid vs. Axibase vs. Firebolt vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSDocument 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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websitedruid.apache.orgaxibase.com/­docs/­atsd/­financewww.firebolt.iocloud.google.com/­datastore
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.firebolt.iocloud.google.com/­datastore/­docs
DeveloperApache Software Foundation and contributorsAxibase CorporationFirebolt Analytics Inc.Google
Initial release2012201320202008
Current release29.0.1, April 202415585
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Unix
Linuxhostedhosted
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes, details here
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageyesSQL-like query language (GQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
Go
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnousing Google App Engine
TriggersnoyesnoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationdepending on storage layerMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache DruidAxibaseFireboltGoogle Cloud Datastore
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