Posts by this author
JanusGraph Nuts and Bolts Part 1: Write Performance
Explore your tuning options for increasing JanusGraph write throughput and lowering latencies.
Understanding the Digital Twin
Digital Twins are the next logical step in an IoT implementation. Data storage for a digital twin can include a property graph database such as JanusGraph or DSE Graph, a time series database like TimescaleDB, and an analytical database like Redshift, Google Bigquery, or HP Vertica.
JanusGraph & FoundationDB at Graph Day San Francisco 2018
A sneak peak of this year's Graph Day San Francisco talk on ACID & integrating JanusGraph with FoundationDB.
Developing a JanusGraph-backed Service on GCP
The graph database space is rapidly expanding as more and more companies identify potential use cases that require the traversal of highly connected network and hierarchical data sets in ways that are cumbersome with RDBMSs and NoSQL solutions.
JanusGraph Nuts and Bolts Part 2: The New CQL Adapter
Follow these tips to speed up your JanusGraph queries when running against a variety of storage backends including Apache Cassandra, ScyllaDB, Apache HBase, and Google Cloud Bigtable.
Schema Support in Three Property Graph Databases
Neo4j, DataStax Graph and Janus property graph schema design decisions for vertex and edge definitions.
Microsoft Cosmos DB Graph and Dropwizard-TinkerPop
Connecting to Microsoft Cosmos DB with Apache TinkerPop Dropwizard.
DSE Graph Partitioning Part 2: Taming your Supernodes
A supernode is a vertex with a large number of edges. In graph theory, these high-degree vertices are known as hubs.
DSE Graph Partitioning Part 1: Custom Vertex Ids
DataStax Enterprise 5.0 contains much more than a version bump of its component pieces. In particular, DSE 5.0 includes the new graph database, DSE Graph. DSE Graph is an Apache TinkerPop enabled distributed property graph database that uses Apache Cassandra for storage, DSE Search for full text and geospatial search, and DSE Analytics for analytical graph processing.
Graph for SQL People (Online Seminar)
How can you retool your SQL talent to deploy on your graph project? According to Google Trends, interest in graph databases is increasing while SQL interest is level or even decreasing – but SQL searches are still 43 times more prevalent than graph.