Memgraph lets you stream data from Apache Kafka, build in-memory dynamic graphs, run graph algorithms and deploy real-time applications with ease.
Her journey there started with a summer internship, and her mathematics and computer science background was a perfect match to work in Memgraph. She enjoys contributing to different areas and exploring new real-time data visualization technologies. She sees the graph world as a future of data analytics due to the variety of algorithms used for stream processing.
Nikola is an experienced Account Executive that loves working with people on innovative and groundbreaking projects. His passion for helping people make an impact lead him to the Memgraph team. Data is the new oil and Memgraph is on a journey to transform the way companies interact and use data. His interest include business development, graph based technologies, data and machine learning.
With a mixed passion for the English language and computer science, she found a perfect job as a technical writer. She is interested in all areas of IT because her goal is to tackle any complex topic to produce technical information, tutorials, how-to guides, and other content that will be comprehensive and easy to use. Besides hunting typos, she also likes to prey on bugs and errors across various software.
Implementation language: C/C++
Storage engine architecture: In-Memory
On-disk persistance: Yes
ACID compliant: Yes
Streaming connectors: Apache Kafka, Apache Pulsar, Redpanda
Query language: Cypher
Licence: Open source
High-availability replication: Business source License
Custom Cypher procedures: Python, C/C++, Rust
Hosted Cloud service: Memgraph Cloud
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