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DBMS > Apache Drill vs. Apache IoTDB vs. Databricks vs. Hawkular Metrics

System Properties Comparison Apache Drill vs. Apache IoTDB vs. Databricks vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitedrill.apache.orgiotdb.apache.orgwww.databricks.comwww.hawkular.org
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software FoundationApache Software FoundationDatabricksCommunity supported by Red Hat
Initial release2012201820132014
Current release1.20.3, January 20231.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)hostedLinux
OS X
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languagewith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
Python
R
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions and aggregatesno
Triggersnoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceyesno
More information provided by the system vendor
Apache DrillApache IoTDBDatabricksHawkular Metrics
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DrillApache IoTDBDatabricksHawkular Metrics
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