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DBMS > Apache Drill vs. Hawkular Metrics vs. IBM Db2 Event Store vs. Prometheus vs. SpatiaLite

System Properties Comparison Apache Drill vs. Hawkular Metrics vs. IBM Db2 Event Store vs. Prometheus vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPrometheus  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed Event Store optimized for Internet of Things use casesOpen-source Time Series DBMS and monitoring systemSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Time Series DBMSEvent Store
Time Series DBMS
Time Series DBMSSpatial DBMS
Secondary database modelsRelational 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
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitedrill.apache.orgwww.hawkular.orgwww.ibm.com/­products/­db2-event-storeprometheus.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdrill.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2-event-storeprometheus.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationCommunity supported by Red HatIBMAlessandro Furieri
Initial release20122014201720152008
Current release1.20.3, January 20232.05.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++GoC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
server-less
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnonononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC++Go
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyesnono
Triggersnoyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraActive-active shard replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistencynone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesnoyes
User concepts infoAccess controlDepending on the underlying data sourcenofine grained access rights according to SQL-standardnono

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More resources
Apache DrillHawkular MetricsIBM Db2 Event StorePrometheusSpatiaLite
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