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DBMS > Apache Impala vs. LevelDB vs. NCache vs. TDengine

System Properties Comparison Apache Impala vs. LevelDB vs. NCache vs. TDengine

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLevelDB  Xexclude from comparisonNCache  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen-Source and Enterprise in-memory Key-Value StoreTime Series DBMS and big data platform
Primary database modelRelational DBMSKey-value storeKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteimpala.apache.orggithub.com/­google/­leveldbwww.alachisoft.com/­ncachegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.alachisoft.com/­resources/­docsdocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleAlachisoftTDEngine, previously Taos Data
Initial release2013201120052019
Current release4.1.0, June 20221.23, February 20215.3.3, April 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDOpen Source infoEnterprise Edition availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#, .NET, .NET Core, JavaC
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Standard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono infosupport for stored procedures with SQL-Server CLRno
Triggersnonoyes infoNotificationsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yes
More information provided by the system vendor
Apache ImpalaLevelDBNCacheTDengine
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Apache ImpalaLevelDBNCacheTDengine
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