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DBMS > LevelDB vs. Netezza vs. RisingWave vs. Warp 10

System Properties Comparison LevelDB vs. Netezza vs. RisingWave 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 comparisonRisingWave  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 PureSystemsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSRelational 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
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.risingwave.com/­databasewww.warp10.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.risingwave.com/­docs/­current/­introwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleIBMRisingWave LabsSenX
Initial release2011200020222015
Current release1.23, February 20211.2, September 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoApache Version 2.0Open 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++RustJava
Server operating systemsIllumos
Linux
OS X
Windows
Linux infoincluded in applianceDocker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesStandard SQL-types and JSONyes
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 indexesnoyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
PostgreSQL wire protocol
HTTP 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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesUDFs in Python or Javayes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding 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 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 datayesyesyes
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 conceptUsers and RolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
LevelDBNetezza infoAlso called PureData System for Analytics by IBMRisingWaveWarp 10
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