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DBMS > Apache Drill vs. Bangdb vs. HBase vs. Lovefield

System Properties Comparison Apache Drill vs. Bangdb vs. HBase vs. Lovefield

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBangdb  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageConverged and high performance database for device data, events, time series, document and graphWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Wide column storeRelational 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitedrill.apache.orgbangdb.comhbase.apache.orggoogle.github.io/­lovefield
Technical documentationdrill.apache.org/­docsdocs.bangdb.comhbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software FoundationSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by PowersetGoogle
Initial release2012201220082014
Current release1.20.3, January 2023BangDB 2.0, October 20212.3.4, January 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJavaScript
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsoptions to bring your own types, AVROyes
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
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL like support with command line toolnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesC++C
C#
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoyes infoCoprocessors in Javano
Triggersnoyes, Notifications (with Streaming only)yesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes, implements WAL (Write ahead log) as wellyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
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, run db with in-memory only modeyesyes infousing MemoryDB
User concepts infoAccess controlDepending on the underlying data sourceyes (enterprise version only)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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Apache DrillBangdbHBaseLovefield
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