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DBMS > Apache Drill vs. Google Cloud Datastore vs. Hawkular Metrics vs. HBase vs. STSdb

System Properties Comparison Apache Drill vs. Google Cloud Datastore vs. Hawkular Metrics vs. HBase vs. STSdb

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitedrill.apache.orgcloud.google.com/­datastorewww.hawkular.orghbase.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationdrill.apache.org/­docscloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.html
DeveloperApache Software FoundationGoogleCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetSTS Soft SC
Initial release20122008201420082011
Current release1.20.3, January 20232.3.4, January 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Windows
Data schemeschema-freeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyes, details hereyesoptions to bring your own types, AVROyes infoprimitive types and user defined types (classes)
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 indexesnoyesnonono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language (GQL)nonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTJava API
RESTful HTTP API
Thrift
.NET Client API
Supported programming languagesC++.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsusing Google App Enginenoyes infoCoprocessors in Javano
TriggersnoCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Apache DrillGoogle Cloud DatastoreHawkular MetricsHBaseSTSdb
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