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DBMS > Databricks vs. FeatureBase vs. HarperDB vs. ObjectBox

System Properties Comparison Databricks vs. FeatureBase vs. HarperDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFeatureBase  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeObject oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.databricks.comwww.featurebase.comwww.harperdb.iogithub.com/­objectbox
objectbox.io
Technical documentationdocs.databricks.comdocs.featurebase.comdocs.harperdb.io/­docsdocs.objectbox.io
DeveloperDatabricksMolecula and Pilosa Open Source ContributorsHarperDBObjectBox Limited
Initial release2013201720172017
Current release2022, May 20223.1, August 20214.0 (May 2024)
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsC and C++
Server operating systemshostedLinux
macOS
Linux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes 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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLSQL queriesSQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native API
Supported programming languagesPython
R
Scala
Java
Python
.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 functions and aggregatesCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes 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 methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesyes
More information provided by the system vendor
DatabricksFeatureBaseHarperDBObjectBox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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