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DBMS > EsgynDB vs. HarperDB vs. LevelDB vs. Lovefield vs. searchxml

System Properties Comparison EsgynDB vs. HarperDB vs. LevelDB vs. Lovefield vs. searchxml

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-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 fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScriptDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.esgyn.cnwww.harperdb.iogithub.com/­google/­leveldbgoogle.github.io/­lovefieldwww.searchxml.net/­category/­products
Technical documentationdocs.harperdb.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.searchxml.net/­support/­handouts
DeveloperEsgynHarperDBGoogleGoogleinformationpartners gmbh
Initial release20152017201120142015
Current release3.1, August 20211.23, February 20212.1.12, February 20171.0
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoBSDOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaNode.jsC++JavaScriptC++
Server operating systemsLinuxLinux
OS X
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyesyes
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.nonononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1nonoyes infoon the application server
TriggersnononoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definednonenoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonoDomain, group and role-based access control at the document level and for application services

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More resources
EsgynDBHarperDBLevelDBLovefieldsearchxml
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