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DBMS > LevelDB vs. Netezza vs. Transwarp Hippo vs. Warp 10

System Properties Comparison LevelDB vs. Netezza vs. Transwarp Hippo vs. Warp 10

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.transwarp.cn/­en/­subproduct/­hippowww.warp10.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleIBMSenX
Initial release2011200020232015
Current release1.23, February 20211.0, May 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialOpen Source infoApache License 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++C++Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyes
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.nonono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJDBC
ODBC
OLE DB
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
Python
Server-side scripts infoStored proceduresnoyesnoyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptRole based access control and fine grained access rightsMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
LevelDBNetezza infoAlso called PureData System for Analytics by IBMTranswarp HippoWarp 10
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