Gartner Included Graph in Top 10 Data & Analytics Technology Trends for 2019
Application of Graph Database Management Systems Will Grow at 100% Annually Through 2022!
Everything in the world, such as industries, pieces of information, roads, and people are connected in the universe of big data. Relationships between individuals are intricately entangled in today’s society, but a graph data is able to create a clear structure that can represent the relationship in dots (vertices/nodes) and lines (edges/links). Graph database provides the best performance for processing and managing Big data from connected IoT devices.
Graph database comes out as a new trend-leading analytic technology to slowly replace the old veteran relational database. Thanks to the constantly evolving data and analytic technology, businesses that implemented the graph analytics have managed to significantly enhance corporate decision making, draw insights from the interrelationship of data, and also saving time and money.
Donald Feinberg, vice president and analyst at Gartner, announced the top 10 data and analytics technology trends for 2019 at Gartner Data & Analytics Summit. Among those 10 trends, Graph Analytics was mentioned and summarized as follows:
Graph Data Mentioned in Top 10 Trends
Graph data can efficiently model, explore and query data of complex interrelationship. Hence, implementing a graph database system can significantly improve exploring relationships between entities of interest such as organizations, people and transactions. The application of graph DBMSs will grow at 100% annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data since SQL queries are not always capable or impossible at scale in handling them.
If you have scanned all trends listed in the article, you may have noticed there are other analytic trends involved, such as artificial intelligence and blockchains etc. Graph data, however, is deeply ingrained in almost all of these promising trends.
Since the 1970s, businesses have been using a relational database to manage their structured data. However, the appearance of a graph database caused a commotion within the data market because managing data in rows and tables became a method of the past, whereas graph is able to process, analyze, and visualize even the complex data relational database could not effectively handle.
Many graph database emerged in the IT market but the relational data is still used as a majority in the current data market. A business that seeks a graph data may need to consider cost-effectiveness before considering transitioning their relational data to graph data. Something like a multi-model database (e.g. RDB+GDB) would be an excellent choice for those who want data migration done smoothly, but not too pricey. That is where Bitnine enters the stage to take the spotlight!
AgensGraph, the Multi-Model Database
Bitnine is a pioneer of the multi-model database, even before Gartner reported the data analytic trends of 2019. We have been leading the market with cutting edge database technology after analyzing the market situation and customers’ needs for multi-model in correlation to RDB and GDB. By modifying and supplementing the PostgreSQL (open source ORDBMS) code to develop AgensGraph, we were able to enter the DBMS race along with other competing GDB leagues.
AgensGraph‘s high compatibility with relational data allows collection of all semi-structured / unstructured data as well as existing regular data. The user can query both SQL and Cypher simultaneously, allowing them to choose whichever language they are more comfortable with.
All in all, it is quite hard to distinguish from one graph data model to another, however, one of the distinct qualities that only Agensgraph can offer is that it is the go-to solution for quick and effective migration of existing relational data.
If you consider yourself a follower of an upcoming trend or if you have not tried our user-friendly solution, it only takes one click install from our website. Oh, and don’t forget to grab our manuals along the way.