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DBMS > Apache Impala vs. HarperDB vs. LevelDB vs. Tkrzw

System Properties Comparison Apache Impala vs. HarperDB vs. LevelDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHarperDB  Xexclude from comparisonLevelDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopUltra-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 fast key-value storage library that provides an ordered mapping from string keys to string valuesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteimpala.apache.orgwww.harperdb.iogithub.com/­google/­leveldbdbmx.net/­tkrzw
Technical documentationimpala.apache.org/­impala-docs.htmldocs.harperdb.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHarperDBGoogleMikio Hirabayashi
Initial release2013201720112020
Current release4.1.0, June 20223.1, August 20211.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC++C++
Server operating systemsLinuxLinux
OS X
Illumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnono
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
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like data manipulation statementsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC.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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceCustom Functions infosince release 3.1nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infothe nodes on which a table resides can be definednonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesnono

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More resources
Apache ImpalaHarperDBLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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