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DBMS > Databricks vs. EJDB vs. HarperDB vs. Lovefield

System Properties Comparison Databricks vs. EJDB vs. HarperDB vs. Lovefield

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonHarperDB  Xexclude from comparisonLovefield  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)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.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Document storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbwww.harperdb.iogoogle.github.io/­lovefield
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.harperdb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDatabricksSoftmotionsHarperDBGoogle
Initial release2013201220172014
Current release3.1, August 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.jsJavaScript
Server operating systemshostedserver-lessLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freedynamic schemayes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoJSON data typesyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like data manipulation statementsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.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
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoCustom Functions infosince release 3.1no
TriggersnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes, 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.noyesyes infousing MemoryDB
User concepts infoAccess controlnoAccess rights for users and rolesno
More information provided by the system vendor
DatabricksEJDBHarperDBLovefield
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEJDBHarperDBLovefield
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