- Aerospike
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Delta Lake
- Dremio
- DSQL
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Firebolt
- Fluss
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- Iceberg
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- Mooncake
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- OxQL
- Pinecone
- PlanetScale
- PostgresML
- PRQL
- QMDB
- QuestDB
- Redshift
- RisingWave
- Rockset
- rqlite
- Samza
- SingleStore
- SLOG
- Snowflake
- SpiceDB
- SplinterDB
- SQL Server
- SQLite
- Stardog
- Striim
- Swarm64
- Technical University of Munich
- TiDB
- TileDB
- Tokutek
- Umbra
- Vertica
- VoltDB
- Weaviate
- XTDB
- YugabyteDB
- AirFlow
- Alibaba
- Anna
- APOLLO
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dolt
- Druid
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Feldera
- Fluree
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- Hudi
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- MotherDuck
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- ParadeDB
- Pinot
- Polaris
- PostgreSQL
- Qdrant
- QuasarDB
- RavenDB
- RelationalAI
- RocksDB
- RonDB
- SalesForce
- ScyllaDB
- sled
- Smooth
- Spice.ai
- Splice Machine
- SQL Anywhere
- SQLancer
- SQream
- StarRocks
- Summingbird
- Synnada
- TerminusDB
- TigerBeetle
- TimescaleDB
- Trino
- Velox
- Vitesse
- Vortex
- WiredTiger
- Yellowbrick
- Aerospike
- Alibaba
- ApertureDB
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dolt
- DSQL
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- MySQL
- NoisePage
- OceanBase
- OtterTune
- Pinecone
- Polaris
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Velox
- VoltDB
- WiredTiger
- YugabyteDB
- AirFlow
- AlloyDB
- APOLLO
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Dremio
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gaia
- Google Spanner
- GreptimeDB
- Hudi
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- Mooncake
- Napa
- Noria
- OpenDAL
- OxQL
- Pinot
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- Trino
- Vertica
- Vortex
- XTDB
- Akamas
- Anna
- Arrow
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Delta Lake
- Druid
- DVMS
- Exon
- Fauna
- Feldera
- Fluss
- Gel
- GoogleSQL
- HarperDB
- Iceberg
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- MotherDuck
- Neon
- NuoDB
- Oracle
- ParadeDB
- PlanetScale
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- Umbra
- Vitesse
- Weaviate
- Yellowbrick
- Aerospike
- AlloyDB
- Arrow
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Delta Lake
- DSQL
- EraDB
- Fauna
- Firebolt
- Gaia
- GoogleSQL
- Heron
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- MySQL
- Noria
- Oracle
- Pinecone
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- Vertica
- Weaviate
- YugabyteDB
- AirFlow
- Anna
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dolt
- DuckDB
- Exon
- FeatureBase
- Fluree
- Gel
- Greenplum
- Hudi
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- Napa
- NuoDB
- OtterTune
- Pinot
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- Trino
- Vitesse
- WiredTiger
- Akamas
- ApertureDB
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Dremio
- DVMS
- eXtremeDB
- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Iceberg
- kdb
- LeanStore
- MapD
- Milvus
- Mooncake
- Neon
- OceanBase
- OxQL
- PlanetScale
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- Umbra
- VoltDB
- XTDB
- Alibaba
- APOLLO
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- Druid
- EdgeDB
- FASTER
- Feldera
- FoundationDB
- Google Spanner
- HarperDB
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- MotherDuck
- NoisePage
- OpenDAL
- ParadeDB
- Polaris
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Velox
- Vortex
- Yellowbrick
Oct 11
2021
[Vaccination 2021] How to Count Things with dbt (Drew Banin)
- Speaker:
- Drew Banin
- System:
- dbt
- Video:
- YouTube
Modern organizations leverage machine learning, data science, and AI to build predictive, responsive, and personalized applications. BUT! Most are bad at counting things. That's where dbt comes in. dbt is an open source framework used to define, test, and document datasets. In this talk, we will discuss the what, why, and how behind dbt and data warehousing in the year... Read More
Oct 4
2021
[Vaccination 2021] Bodo: Automatic HPC Performance and Scaling for Data Processing in Python (Ehsan Totoni)
- Speaker:
- Ehsan Totoni
- System:
- Bodo
- Video:
- YouTube
Python is the language of choice for machine learning (ML) and AI, but SQL has been used for data processing for decades. Many data applications are often a mix of the two languages, which makes development and deployment cumbersome for data teams. BodoSQL addresses the "two-language" problem by compiling Python and SQL code together, providing type checking, error checking, end-to-end... Read More
Sep 27
2021
[Vaccination 2021] The TileDB Universal Database (Stavros Papadopoulos)
- Speaker:
- Stavros Papadopoulos
- System:
- TileDB
- Video:
- YouTube
TileDB makes data management universal by modeling all types of data (tables, images, video, genomics, LiDAR and many more) as multi-dimensional arrays. TileDB enables storage on any backend and offers extreme interoperability via numerous language APIs, SQL databases and data science tools. It also takes data sharing, monetization and computation to extreme scale via its powerful serverless architecture. In this... Read More
Sep 20
2021
[Vaccination 2021] Google Napa: Powering Scalable Data Warehousing with Robust Query Performance (Jagan Sankaranarayanan + Indrajit Roy)
- Speakers:
- Jagan Sankaranarayanan, Indrajit Roy
- System:
- Napa
- Video:
- YouTube
Napa powers Google’s data warehouse needs for critical clients like Ads and payments. These clients have differing requirements around cost, performance, and data freshness, including a strong expectation of variance-free, robust query performance. At its core, Napa’s principal technologies for robust query performance include the aggressive use of materialized views, which are maintained consistently as new data is ingested across... Read More
Sep 13
2021
[Vaccination 2021] rqlite – The Distributed Database Built on Raft and SQLite (Philip O’Toole)
- Speaker:
- Philip O’Toole
- System:
- rqlite
- Video:
- YouTube
rqlite is a lightweight, distributed database which uses SQLite as its database engine. This presentation will discuss its goals, design, and implementation, with particular reference to its use of the Raft consensus algorithm, and its embedding of SQLite. We will also discuss rqlite testing, performance, lessons learned during development, and some of its real-world applications. This talk is part of... Read More
Aug 18
2021
PhD Defense: Self-Driving Database Management Systems: Forecasting, Modeling, and Planning (Lin Ma)
- Speaker:
- Lin Ma
Database management systems (DBMSs) are an important part of modern data-driven applications. However, they are notoriously difficult to deploy and administer because they have many aspects that one can change that affect their performance, including database physical design and system configuration. There are existing methods that recommend how to change these aspects of databases for an application. But most of... Read More
Aug 9
2021
MS Thesis Defense: Code Generation Log Replay for In-memory Database Management Systems (Tianlei Pan)
- Speaker:
- Tianlei Pan
Code generation is a widely-used technique for improving query execution throughput by compiling instructions into native code. This technique, however, leads to design challenges for the recovery system of a DBMS. The log replay process will be disconnected from the built-in execution engine that has been modified to operate efficiently on compiled code. This usually leads to the implementation of... Read More
Jun 14
2021
[Vaccination 2021] Systems for Human Data Interaction (Eugene Wu)
- Speaker:
- Eugene Wu
- System:
- DVMS
- Video:
- YouTube
The rapid democratization of data has placed its access and analysis in the hands of the entire population. While the advances in rapid and large-scale data processing continue to reduce runtimes and costs, the interfaces and tools for end-users to interact with, and work with, data is still lacking. It is still too difficult to translate a user’s data needs... Read More
Jun 7
2021
[Vaccination 2021] PostgreSQL Optimizer Methodology (Robert Haas)
- Speaker:
- Robert Haas
- System:
- PostgreSQL
- Video:
- YouTube
In this talk, I'll talk at a high level about how the PostgreSQL query planner approaches join planning, and how it gathers and uses statistics. Without losing sight of the fact that these algorithms generally work, I want to highlight some of the annoying cases where they break down, and the problems that they can cause for users and developers.... Read More
May 24
2021
[Vaccination 2021] MonetDB: Scale Up Before You Scale Out (Sir Martin Kersten)
- Speaker:
- Sir Martin Kersten
- System:
- MonetDB
- Video:
- YouTube
MonetDB is the pioneering open-source main-memory oriented column store developed in a research setting and spinning out into the enterprise market to make a (performance) difference. MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and modular software architecture. In... Read More