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DBMS > JanusGraph vs. PieCloudDB vs. QuestDB vs. Splice Machine

System Properties Comparison JanusGraph vs. PieCloudDB vs. QuestDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonPieCloudDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A cloud-native analytic database platform with new technologoy for elastic MPPA high performance open source SQL database for time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitejanusgraph.orgwww.openpie.comquestdb.iosplicemachine.com
Technical documentationdocs.janusgraph.orgquestdb.io/­docssplicemachine.com/­how-it-works
DeveloperLinux Foundation; originally developed as Titan by AureliusOpenPieQuestDB Technology IncSplice Machine
Initial release201720142014
Current release0.6.3, February 20232.1, January 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustJava
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL with time-series extensionsyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
CLI Client
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
Java
Python
Java
PL/SQL
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yeshorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUser Roles and pluggable authentication with full SQL StandardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
JanusGraph infosuccessor of TitanPieCloudDBQuestDBSplice Machine
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
JanusGraph infosuccessor of TitanPieCloudDBQuestDBSplice Machine
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