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DBMS > H2 vs. HarperDB vs. InfinityDB vs. KeyDB

System Properties Comparison H2 vs. HarperDB vs. InfinityDB vs. KeyDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHarperDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.A Java embedded Key-Value Store which extends the Java Map interfaceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitewww.h2database.comwww.harperdb.ioboilerbay.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsboilerbay.com/­infinitydb/­manualdocs.keydb.dev
DeveloperThomas MuellerHarperDBBoiler Bay Inc.EQ Alpha Technology Ltd.
Initial release2005201720022019
Current release2.2.220, July 20233.1, August 20214.0
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availablecommercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
All OS with a Java VMLinux
Data schemeyesdynamic schemayes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrayspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infoby using the Redis Search module
SQL infoSupport of SQLyesSQL-like data manipulation statementsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesJava.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
JavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1noLua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definednoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnosimple password-based access control and ACL

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More resources
H2HarperDBInfinityDBKeyDB
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