- Aerospike
- Alibaba
- Anna
- APOLLO
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dremio
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Feldera
- Fluree
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- OxQL
- Pinecone
- PlanetScale
- 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
- Weaviate
- Yellowbrick
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Dolt
- Druid
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Firebolt
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- ParadeDB
- Pinot
- 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
- WiredTiger
- YugabyteDB
- Aerospike
- AlloyDB
- APOLLO
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Druid
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- Gaia
- Google Spanner
- GreptimeDB
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- Neon
- NuoDB
- Oracle
- ParadeDB
- PlanetScale
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Velox
- VoltDB
- Yellowbrick
- Akamas
- Anna
- Arrow
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Dolt
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gel
- GoogleSQL
- HarperDB
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- MySQL
- NoisePage
- OceanBase
- OtterTune
- Pinecone
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- Trino
- Vertica
- Weaviate
- YugabyteDB
- Alibaba
- ApertureDB
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dremio
- DVMS
- Exon
- Fauna
- Feldera
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- Napa
- Noria
- OpenDAL
- OxQL
- Pinot
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- Umbra
- Vitesse
- WiredTiger
- Aerospike
- Anna
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dremio
- EdgeDB
- FASTER
- Feldera
- Gaia
- GoogleSQL
- Heron
- kdb
- LeanStore
- MapD
- Milvus
- MySQL
- Noria
- Oracle
- Pinecone
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- Trino
- Vitesse
- Yellowbrick
- Akamas
- ApertureDB
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Druid
- EraDB
- Fauna
- Firebolt
- Gel
- Greenplum
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- Napa
- NuoDB
- OtterTune
- Pinot
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- Umbra
- VoltDB
- YugabyteDB
- Alibaba
- APOLLO
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- DuckDB
- Exon
- FeatureBase
- Fluree
- GlareDB
- GreptimeDB
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- Neon
- OceanBase
- OxQL
- PlanetScale
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Velox
- Weaviate
- AlloyDB
- Arrow
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Dolt
- DVMS
- eXtremeDB
- Featureform
- FoundationDB
- Google Spanner
- HarperDB
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- NoisePage
- OpenDAL
- ParadeDB
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- Vertica
- WiredTiger
Oct 22
2015
The Journey from Faster to Better (Igor Canadi + Mark Callaghan)
- Speakers:
- Igor Canadi , Mark Callaghan
- System:
- RocksDB
- Video:
- YouTube
RocksDB has been adapted to a wide range of workloads. Early adopters needed a DBMS for low-latency & high-throughput workloads. Using RocksDB as an embedded DBMS eliminates network latency per request. When using RocksDB with a fast SSD we are able to get more IO throughput compared to other open-source DBMS that we use in production. We continue to get... Read More
Oct 20
2015
Charlie Swanson (MongoDB)
- Speaker:
- Charlie Swanson
- System:
- MongoDB
From "How many documents are in my collection?" to "What state has the highest percentage of people living in its most populous city?", there are many questions MongoDB can answer about your data. In this talk, we'll see what sorts of questions can be asked, and how MongoDB finds the most efficient way to answer them. Determining the best way... Read More
Oct 19
2015
[DB Seminar] Fall 2015: Alex Beutel
- Speaker:
- Alex Beutel
Which seems more suspicious: 5,000 tweets from 200 users on 5 IP addresses, or 10,000 tweets from 500 users on 500 IP addresses but all with the same trending topic and all in 10 minutes? The literature has many methods that try to find dense blocks in matrices, and, recently, tensors, but no method gives a principled way to score... Read More
Oct 12
2015
DB Seminar [Fall 2015]: more WIN discussion
We'll continue last week's theme of discussing more cool talks from WIN. Other WIN attendees -- please bring some notes about the talks you liked/didn't like or thought-provoking questions from the workshop. Read More
Oct 8
2015
The Lightning Memory-Mapped Database (Howard Chu)
- Speaker:
- Howard Chu
- System:
- LMDB
- Video:
- YouTube
The Lightning Memory-Mapped Database (LMDB) was introduced at LDAPCon 2011 and has been enjoying tremendous success in the intervening time. LMDB was written for the OpenLDAP Project and has proved to be the world's smallest, fastest, and most reliable transactional embedded data store. It has cemented OpenLDAP's position as world's fastest directory server, and its adoption outside the OpenLDAP Project... Read More
Oct 5
2015
DB Seminar [Fall 2015]: Kijung Shin
- Speaker:
- Kijung Shin
Given a large graph, how can we calculate the relevance between nodes fast and accurately? Random walk with restart (RWR) provides a good measure for this purpose and has been applied to diverse data mining applications including ranking, community detection, link prediction, and anomaly detection. Since calculating RWR from scratch takes long, various preprocessing methods, most of which are related... Read More
Sep 28
2015
DB Seminar [Fall 2015]: Gene Davis (Splice Machine)
- Speaker:
- Gene Davis
- System:
- Splice Machine
In this talk, Gene will discuss Splice Machine, a full RDBMS built on top of Hadoop. He will describe what makes Splice Machine work and what their team is working on now to make it even more performant on mixed database workloads. Read More
Sep 17
2015
SQLite, A Database for the Edge of the Network (Richard Hipp)
- Speaker:
- D. Richard Hipp
- System:
- SQLite
- Video:
- YouTube
SQLite is a full-featured embedded SQL database engine, and the world's most widely deployed and used database engine. The design and implementation of SQLite is different from most other RDBMSes, since SQLite strives to solve a different problem. This talk describes the problem that SQLite solves and overviews the design choices and algorithms that SQLite uses in its unique role.... Read More
Sep 15
2015
SCS Distinguished Lecture — Michael Stonebraker (MIT)
- Speaker:
- Michael Stonebraker
This Turing Award talk intermixes a bicycle ride across America during the summer of 1988 with the design, construction and commercialization of Postgres during the late 80’s and early ‘90’s. Striking parallels are observed, leading to a discussion of what it takes to build a new DBMS. Also, indicated are the roles that perseverance and serendipity played in both endeavors. Read More
Sep 10
2015
A Technical Introduction to WiredTiger (Keith Bostic)
- Speaker:
- Keith Bostic
- System:
- WiredTiger
- Video:
- YouTube
WiredTiger is a fully ACID, new generation embeddable data store, architected to provide transactional scalability and superior throughput on modern hardware. WiredTiger is deployed behind Amazon Web Services, and is the principal storage engine for MongoDB's cross-platform document-oriented database product. In this talk, Keith Bostic, a senior engineer at MongoDB and a co-architect of WiredTiger, will describe the original design... Read More