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DBMS > LevelDB vs. Netezza vs. ObjectBox vs. Pinecone

System Properties Comparison LevelDB vs. Netezza vs. ObjectBox vs. Pinecone

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonPinecone  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 PureSystemsExtremely fast embedded database for small devices, IoT and MobileA managed, cloud-native vector database
Primary database modelKey-value storeRelational DBMSObject oriented DBMSVector DBMS
Secondary database modelsTime 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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitegithub.com/­google/­leveldbwww.ibm.com/­products/­netezzaobjectbox.iowww.pinecone.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.objectbox.iodocs.pinecone.io/­docs/­overview
DeveloperGoogleIBMObjectBox LimitedPinecone Systems, Inc
Initial release2011200020172019
Current release1.23, February 2021
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesString, Number, Boolean
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 indexesnoyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary native APIRESTful HTTP API
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
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyes
More information provided by the system vendor
LevelDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxPinecone
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