DBMS > Greenplum vs. NebulaGraph vs. WakandaDB
System Properties Comparison Greenplum vs. NebulaGraph vs. WakandaDB
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|Editorial information provided by DB-Engines|
|Name||Greenplum Xexclude from comparison||NebulaGraph Xexclude from comparison||WakandaDB Xexclude from comparison|
|Primary database model||Relational DBMS||Graph DBMS||Object oriented DBMS|
|Secondary database models||Document store|
|Developer||Pivotal Software Inc.||Vesoft Inc.||Wakanda SAS|
|Current release||6.7.1, April 2020||2.7.0 (April 29, 2019), April 2019|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source Apache Version 2.0 + Common Clause 1.0||Open Source AGPLv3, extended commercial license available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||Linux||Linux|
|Data scheme||yes||Strong typed schema||yes|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes since Version 4.2||no||no|
|Secondary indexes||yes||yes Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.|
|SQL Support of SQL||yes||SQL-like query language||no|
|APIs and other access methods||JDBC|
Proprietary native API
Query language nGQL
|RESTful HTTP API|
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Causal Clustering using Raft protocol||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes Relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes using RocksDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Role-based access control||yes|
|More information provided by the system vendor|
|Specific characteristics||NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...|
|Competitive advantages||NebulaGraph boasts the world's only graph database solution that is able to host...|
|Typical application scenarios||Social networking Fraud detection Knowledge graph Data warehouse management Anti...|
|Key customers||Currently we have some top internet companies in China implementing NebulaGraph in...|
|Market metrics||At our very early stage, NebulaGraph has already received over 8,200 stars and thousands...|
|Licensing and pricing models||NebulaGraph is open source and free to use under Apache 2.0 license.|
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