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DBMS > LevelDB vs. Teradata vs. Ultipa vs. Warp 10

System Properties Comparison LevelDB vs. Teradata vs. Ultipa vs. Warp 10

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonTeradata  Xexclude from comparisonUltipa  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA hybrid cloud data analytics software platform (Teradata Vantage)High performance Graph DBMS supporting HTAP high availability cluster deploymentTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­google/­leveldbwww.teradata.comwww.ultipa.comwww.warp10.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.comwww.ultipa.com/­documentwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleTeradataUltipaSenX
Initial release2011198420192015
Current release1.23, February 2021Teradata Vantage 1.0 MU2, January 2019
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++Java
Server operating systemsIllumos
Linux
OS X
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsno
APIs and other access methods.NET Client API
HTTP REST
JDBC
JMS Adapter
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++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyes infoWarpScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoHashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
LevelDBTeradataUltipaWarp 10
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