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DBMS > Apache Druid vs. Axibase vs. Blueflood vs. Google Cloud Datastore vs. Newts

System Properties Comparison Apache Druid vs. Axibase vs. Blueflood vs. Google Cloud Datastore vs. Newts

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNewts  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 visualizationScalable TimeSeries DBMS based on CassandraAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS based on Cassandra
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitedruid.apache.orgaxibase.com/­docs/­atsd/­financeblueflood.iocloud.google.com/­datastoreopennms.github.io/­newts
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­datastore/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation and contributorsAxibase CorporationRackspaceGoogleOpenNMS Group
Initial release20122013201320082014
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 paidOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
hostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyespredefined schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes, details hereyes
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.nonononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoSQL-like query language (GQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP RESTgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresnoyesnousing Google App Engineno
TriggersnoyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infobased on CassandraShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication using Paxosselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache DruidAxibaseBluefloodGoogle Cloud DatastoreNewts
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