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DBMS > Apache Drill vs. Apache Phoenix vs. Bangdb vs. FoundationDB vs. Splice Machine

System Properties Comparison Apache Drill vs. Apache Phoenix vs. Bangdb vs. FoundationDB vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonFoundationDB  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphOrdered key-value store. Core features are complimented by layers.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial 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
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orgbangdb.comgithub.com/­apple/­foundationdbsplicemachine.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdocs.bangdb.comapple.github.io/­foundationdbsplicemachine.com/­how-it-works
DeveloperApache Software FoundationApache Software FoundationSachin Sinha, BangDBFoundationDBSplice Machine
Initial release20122014201220132014
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20216.2.28, November 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++Java
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsno infosome layers support typingyes
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 indexesnoyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesSQL like support with command line toolsupported in specific SQL layer onlyyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCProprietary protocol
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoin SQL-layer onlyyes infoJava
Triggersnonoyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynononoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes, run db with in-memory only modeyes
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)noAccess rights for users, groups and roles according to SQL-standard

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Apache DrillApache PhoenixBangdbFoundationDBSplice Machine
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