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DBMS > ArcadeDB vs. Google Cloud Datastore vs. Graphite vs. Ignite vs. Tkrzw

System Properties Comparison ArcadeDB vs. Google Cloud Datastore vs. Graphite vs. Ignite vs. Tkrzw

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeTime Series DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitearcadedb.comcloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webignite.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.arcadedb.comcloud.google.com/­datastore/­docsgraphite.readthedocs.ioapacheignite.readme.io/­docs
DeveloperArcade DataGoogleChris DavisApache Software FoundationMikio Hirabayashi
Initial release20212008200620152020
Current releaseSeptember 2021Apache Ignite 2.60.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++, Java, .NetC++
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereNumeric data onlyyesno
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.nononoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like query language (GQL)noANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks using the Google Apps Enginenoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noSecurity Hooks for custom implementationsno

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More resources
ArcadeDBGoogle Cloud DatastoreGraphiteIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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