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DBMS > Apache Drill vs. Datomic vs. GigaSpaces vs. Prometheus

System Properties Comparison Apache Drill vs. Datomic vs. GigaSpaces vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitedrill.apache.orgwww.datomic.comwww.gigaspaces.comprometheus.io
Technical documentationdrill.apache.org/­docsdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmlprometheus.io/­docs
DeveloperApache Software FoundationCognitectGigaspaces Technologies
Initial release2012201220002015
Current release1.20.3, January 20231.0.7180, July 202415.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, C++, .NetGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoXML can be used for describing objects metadatano infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-99 for query and DML statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API
Supported programming languagesC++Clojure
Java
.Net
C++
Java
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlDepending on the underlying data sourcenoRole-based access controlno

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More resources
Apache DrillDatomicGigaSpacesPrometheus
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