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DBMS > ArcadeDB vs. GeoMesa vs. Google Cloud Bigtable vs. JanusGraph vs. Warp 10

System Properties Comparison ArcadeDB vs. GeoMesa vs. Google Cloud Bigtable vs. JanusGraph vs. Warp 10

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Spatial DBMSKey-value store
Wide column store
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitearcadedb.comwww.geomesa.orgcloud.google.com/­bigtablejanusgraph.orgwww.warp10.io
Technical documentationdocs.arcadedb.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsdocs.janusgraph.orgwww.warp10.io/­content/­02_Getting_started
DeveloperArcade DataCCRi and othersGoogleLinux Foundation; originally developed as Titan by AureliusSenX
Initial release20212014201520172015
Current releaseSeptember 20215.0.0, May 20240.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaJava
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query language, no joinsnononono
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyesyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph ServerMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
ArcadeDBGeoMesaGoogle Cloud BigtableJanusGraph infosuccessor of TitanWarp 10
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