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DBMS > AnzoGraph DB vs. LevelDB vs. Sqrrl vs. Tkrzw vs. Warp 10

System Properties Comparison AnzoGraph DB vs. LevelDB vs. Sqrrl vs. Tkrzw vs. Warp 10

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonLevelDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAdaptable, secure NoSQL built on Apache AccumuloA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­google/­leveldbsqrrl.comdbmx.net/­tkrzwwww.warp10.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.warp10.io/­content/­02_Getting_started
DeveloperCambridge SemanticsGoogleAmazon infooriginally Sqrrl Data, Inc.Mikio HirabayashiSenX
Initial release20182011201220202015
Current release2.3, January 20211.23, February 20210.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSDcommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++Java
Server operating systemsLinuxIllumos
Linux
OS X
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnonoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononoyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infomaking use of HadoopnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneselectable replication factor infomaking use of Hadoopnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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 infousing specific database classesyes
User concepts infoAccess controlAccess rights for users and rolesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AnzoGraph DBLevelDBSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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