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DBMS > GeoSpock vs. HarperDB vs. Lovefield vs. Microsoft Access vs. TerarkDB

System Properties Comparison GeoSpock vs. HarperDB vs. Lovefield vs. Microsoft Access vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleUltra-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 JavaScriptMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comwww.harperdb.iogoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­bytedance/­terarkdb
Technical documentationdocs.harperdb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddeveloper.microsoft.com/­en-us/­accessbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockHarperDBGoogleMicrosoftByteDance, originally Terark
Initial release2017201419922016
Current release2.0, September 20193.1, August 20212.1.12, February 20171902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptNode.jsJavaScriptC++C++
Server operating systemshostedLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows infoNot a real database server, but making use of DLLs
Data schemeyesdynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesno
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 indexestemporal, categoricalyesyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsSQL-like query language infovia JavaScript builder patternyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
Supported programming languages.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
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noyes infosince Access 2010 using the ACE-engineno
TriggersnonoUsing read-only observersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusternonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesnono infoa simple user-level security was built in till version Access 2003no

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More resources
GeoSpockHarperDBLovefieldMicrosoft AccessTerarkDB
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