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DBMS > EJDB vs. HarperDB vs. Lovefield vs. Spark SQL vs. Yaacomo

System Properties Comparison EJDB vs. HarperDB vs. Lovefield vs. Spark SQL vs. Yaacomo

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHarperDB  Xexclude from comparisonLovefield  Xexclude from comparisonSpark SQL  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEmbeddable 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 JavaScriptSpark SQL is a component on top of 'Spark Core' for structured data processingOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#294  Overall
#44  Document stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.harperdb.iogoogle.github.io/­lovefieldspark.apache.org/­sqlyaacomo.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.harperdb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsHarperDBGoogleApache Software FoundationQ2WEB GmbH
Initial release20122017201420142009
Current release3.1, August 20212.1.12, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.jsJavaScriptScala
Server operating systemsserver-lessLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoJSON data typesyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like query language infovia JavaScript builder patternSQL-like DML and DDL statementsyes
APIs and other access methodsin-process shared libraryJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
JDBC
ODBC
Supported programming languagesActionscript
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
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
TriggersnonoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternoneyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definednonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlnoAccess rights for users and rolesnonofine grained access rights according to SQL-standard

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More resources
EJDBHarperDBLovefieldSpark SQLYaacomo
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