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DBMS > HarperDB vs. Oracle Berkeley DB vs. TDengine vs. VelocityDB

System Properties Comparison HarperDB vs. Oracle Berkeley DB vs. TDengine vs. VelocityDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTDengine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionUltra-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.Widely used in-process key-value storeTime Series DBMS and big data platformA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.harperdb.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­taosdata/­TDengine
tdengine.com
velocitydb.com
Technical documentationdocs.harperdb.io/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tdengine.comvelocitydb.com/­UserGuide
DeveloperHarperDBOracle infooriginally developed by Sleepycat, which was acquired by OracleTDEngine, previously Taos DataVelocityDB Inc
Initial release2017199420192011
Current release3.1, August 202118.1.40, May 20203.0, August 20227.x
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infocommercial license availableOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC, Java, C++ (depending on the Berkeley DB edition)CC#
Server operating systemsLinux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Any that supports .NET
Data schemedynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyes 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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like data manipulation statementsyes infoSQL interfaced based on SQLite is availableStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
RESTful HTTP API
.Net
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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonono
Triggersnoyes infoonly for the SQL APIyes, via alarm monitoringCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusternoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationyes
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoyesBased on Windows Authentication
More information provided by the system vendor
HarperDBOracle Berkeley DBTDengineVelocityDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
HarperDBOracle Berkeley DBTDengineVelocityDB
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