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DBMS > HarperDB vs. HEAVY.AI vs. Hypertable vs. searchxml vs. SwayDB

System Properties Comparison HarperDB vs. HEAVY.AI vs. Hypertable vs. searchxml vs. SwayDB

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonsearchxml  Xexclude from comparisonSwayDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopDBMS for structured and unstructured content wrapped with an application serverAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeRelational DBMSWide column storeNative XML DBMS
Search engine
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.harperdb.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.searchxml.net/­category/­productsswaydb.simer.au
Technical documentationdocs.harperdb.io/­docsdocs.heavy.aiwww.searchxml.net/­support/­handouts
DeveloperHarperDBHEAVY.AI, Inc.Hypertable Inc.informationpartners gmbhSimer Plaha
Initial release20172016200920152018
Current release3.1, August 20215.10, January 20220.9.8.11, March 20161.0
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGNU Affero GPL V3.0
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 languageNode.jsC++ and CUDAC++C++Scala
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Windows
Data schemedynamic schemayesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesnoyesno
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.nonoyesno
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like data manipulation statementsyesnonono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
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
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Kotlin
Scala
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonoyes infoon the application serverno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoRound robinShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replicationselectable replication factor on file system levelyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonomultiple readers, single writerAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application servicesno

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More resources
HarperDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertablesearchxmlSwayDB
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