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DBMS > Apache Drill vs. BigObject vs. HarperDB vs. ObjectBox

System Properties Comparison Apache Drill vs. BigObject vs. HarperDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBigObject  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for real-time computations and queriesHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelDocument store
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeObject oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitedrill.apache.orgbigobject.iowww.harperdb.iogithub.com/­objectbox
objectbox.io
Technical documentationdrill.apache.org/­docsdocs.bigobject.iodocs.harperdb.io/­docsdocs.objectbox.io
DeveloperApache Software FoundationBigObject, Inc.HarperDBObjectBox Limited
Initial release2012201520172017
Current release1.20.3, January 20233.1, August 20214.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercial infofree community edition availableBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC and C++
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes, plus "flex" map-like types
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsSQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native API
Supported programming languagesC++.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresuser defined functionsLuaCustom Functions infosince release 3.1no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesno
User concepts infoAccess controlDepending on the underlying data sourcenoAccess rights for users and rolesyes
More information provided by the system vendor
Apache DrillBigObjectHarperDBObjectBox
News

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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Apache DrillBigObjectHarperDBObjectBox
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
27 September 2019, Towards Data Science

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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11 September 2024, PR Newswire

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10 September 2024, Defense Innovation Unit

Serent Capital invests in software firm HarperDB
12 June 2024, PE Hub

HarperDB Receives Growth Investment from Serent Capital
12 June 2024, FinSMEs

provided by Google News



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