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DBMS > Apache Drill vs. Datomic vs. FoundationDB vs. NSDb

System Properties Comparison Apache Drill vs. Datomic vs. FoundationDB vs. NSDb

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonNSDb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 durabilityOrdered key-value store. Core features are complimented by layers.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitedrill.apache.orgwww.datomic.comgithub.com/­apple/­foundationdbnsdb.io
Technical documentationdrill.apache.org/­docsdocs.datomic.comapple.github.io/­foundationdbnsdb.io/­Architecture
DeveloperApache Software FoundationCognitectFoundationDB
Initial release2012201220132017
Current release1.20.3, January 20231.0.7075, December 20236.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, Scala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes: int, bigint, decimal, string
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
Secondary indexesnoyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnosupported in specific SQL layer onlySQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC++Clojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsin SQL-layer onlyno
TriggersnoBy using transaction functionsno
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 peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyEventual Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyno
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)yesUsing Apache Lucene
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 development
User concepts infoAccess controlDepending on the underlying data sourcenono

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More resources
Apache DrillDatomicFoundationDBNSDb
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