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DBMS > H2 vs. HarperDB vs. KeyDB vs. Microsoft Azure Table Storage

System Properties Comparison H2 vs. HarperDB vs. KeyDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHarperDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument storeKey-value storeWide column 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
Score0.71
Rank#226  Overall
#33  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.h2database.comwww.harperdb.iogithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsdocs.keydb.dev
DeveloperThomas MuellerHarperDBEQ Alpha Technology Ltd.Microsoft
Initial release2005201720192012
Current release2.2.220, July 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++
Server operating systemsAll OS with a Java VMLinux
OS X
Linuxhosted
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesSQL-like data manipulation statementsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
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
C
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1Luano
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoImplicit feature of the cloud service
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 definedMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsOptimistic locking, atomic execution of commands blocks and scriptsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolessimple password-based access control and ACLAccess rights based on private key authentication or shared access signatures

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More resources
H2HarperDBKeyDBMicrosoft Azure Table Storage
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